Amazon Research Awards (ARA) provides unrestricted funds and AWS Promotional Credits to academic researchers investigating various research topics in multiple disciplines. This cycle, ARA received many excellent research proposals from across the world and today is publicly announcing 70 award recipients who represent 44 universities in 10 countries.
This announcement includes awards funded under five call for proposals during the fall 2024 cycle: AI for Information Security , Automated Reasoning , AWS AI , AWS Cryptography , and Sustainability . Proposals were reviewed for the quality of their scientific content and their potential to impact both the research community and society. Additionally, Amazon encourages the publication of research results, presentations of research at Amazon offices worldwide, and the release of related code under open-source licenses.
Recipients have access to more than 700 Amazon public datasets and can utilize AWS AI/ML services and tools through their AWS Promotional Credits. Recipients also are assigned an Amazon research contact who offers consultation and advice, along with opportunities to participate in Amazon events and training sessions.
Automated Reasoning is an important area of research for Amazon, with potential applications across various features and applications to help improve security, reliability, and performance for our customers. Through the ARA program, we collaborate with leading academic researchers to explore challenges in this field, said Robert Jones, senior principal scientist with the Cloud Automated Reasoning Group. We were again impressed by the exceptional response to our Automated Reasoning call for proposals this year, receiving numerous high-quality submissions. Congratulations to the recipients! We’re excited to support their work and partner with them as they develop new science and technology in this important area.
At Amazon, we believe that solving the world’s toughest sustainability challenges benefits from both breakthrough scientific research and open and bold collaboration. Through programs like the Amazon Research Awards program, we aim to support academic research that could contribute to our understanding of these complex issues, said Kommy Weldemariam, Director of Science and Innovation Sustainability. The selected proposals represent innovative projects that we hope will help advance knowledge in this field, potentially benefiting customers, communities, and the environment.
ARA funds proposals throughout the year in a variety of research areas. Applicants are encouraged to visit the ARA call for proposals page for more information or send an email to be notified of future open calls.
The tables below list, in alphabetical order by last name, fall 2024 cycle call-for-proposal recipients, sorted by research area.
AI for Information Security
<tbody><tr><td colspan=”1″ rowspan=”1″><b>Recipient</b></td><td colspan=”1″ rowspan=”1″><b>University</b></td><td colspan=”1″ rowspan=”1″><b>Research title</b></td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/christopher-amato” data-cms-id=”00000196-f43b-d69c-af96-fc3ff74c0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/christopher-amato” 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Amato&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-367d-d5b3-a9f7-be7de6a40000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Christopher Amato</a></td><td colspan=”1″ rowspan=”1″ height=”77″ class=”xl65″ width=”171″ style=”height:57.6pt;width:128pt”>Northeastern University</td><td colspan=”1″ rowspan=”1″ height=”77″ class=”xl65″ width=”202″ style=”height:57.6pt;width:151pt”>Multi-Agent Reinforcement Learning Cyber Defense for Securing Cloud Computing Platforms</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”58″ class=”xl66″ width=”117″ style=”height:43.2pt;width:88pt”><a href=”https://www.amazon.science/research-awards/recipients/bernd-bischl” data-cms-id=”00000196-f3df-d69c-af96-ffffe5470000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/bernd-bischl” 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Bischl&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-367e-d651-a1ff-fe7e23880000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Bernd Bischl</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”width:128pt”>Ludwig Maximilian University of Munich</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”width:151pt”>Improving Generative and Foundation Models Reliability via Uncertainty-awareness</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”77″ class=”xl66″ width=”117″ style=”height:57.6pt;width:88pt”><a href=”https://www.amazon.science/research-awards/recipients/alina-oprea” data-cms-id=”00000196-f438-d69c-af96-fc3eb0360000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/alina-oprea” 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Oprea&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-367e-da03-a5d7-ff7f59860000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Alina Oprea</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”width:128pt”>Northeastern University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”width:151pt”>Multi-Agent Reinforcement Learning Cyber Defense for Securing Cloud Computing Platforms</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”77″ class=”xl66″ width=”117″ style=”height:57.6pt;width:88pt”><a href=”https://www.amazon.science/research-awards/recipients/roberto-perdisci” data-cms-id=”00000196-f3d4-dd94-ad97-f7df08670000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/roberto-perdisci” 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Perdisci&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-367e-d1b2-a397-36fe8d400000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Roberto Perdisci</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”width:128pt”>University of Georgia</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”width:151pt”>ContextADBench: A Comprehensive Benchmark Suite for Contextual Anomaly Detection</td></tr></tbody>
Automated Reasoning
<tbody><tr><td colspan=”1″ rowspan=”1″><b>Recipient</b></td><td colspan=”1″ rowspan=”1″><b>University</b></td><td colspan=”1″ rowspan=”1″><b>Research title</b></td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/nada-amin” data-cms-id=”00000188-9255-dbd2-a1db-fad53a150000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/nada-amin” 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Amin&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-367e-dd34-a3ff-7f7fea890000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Nada Amin</a></td><td colspan=”1″ rowspan=”1″ class=”xl67″ width=”175″ style=”width:131pt”>Harvard University</td><td colspan=”1″ rowspan=”1″ class=”xl67″ width=”285″ style=”width:214pt”>LLM-Augmented Semi-Automated Proofs for Interactive Verification</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/suguman-bansal” data-cms-id=”00000196-f46e-d69c-af96-fc6efbb40000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/suguman-bansal” 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Bansal&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-367f-df40-ad97-b6ff224a0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Suguman Bansal</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”width:131pt”>Georgia Institute of Technology</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-left:none;width:214pt”>Certified Inductive Generalization in Reinforcement Learning</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/ioana-boureanu” data-cms-id=”00000196-f441-d69c-af96-fc6733410000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/ioana-boureanu” 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Boureanu&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-367f-dd34-a3ff-7f7fd1240000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Ioana Boureanu</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>University of Surrey</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Phoebe+: An Automated-Reasoning Tool for Provable Privacy in Cryptographic Systems</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/omar-haider-chowdhury” data-cms-id=”00000196-f468-dd94-ad97-f4ff34610000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/omar-haider-chowdhury” 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Haider Chowdhury&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3680-d5b3-a9f7-be8004890000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Omar Haider Chowdhury</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>Stony Brook University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Restricter: An Automatic Tool for Authoring Amazon Cedar Access Control Policies with the Principle of Least Privilege</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/stefan-ciobaca” data-cms-id=”00000196-f500-d5f3-af9e-f5b5d6da0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/stefan-ciobaca” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748966070795,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748966070795,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f500-d5f3-af9e-f5b5d6da0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3680-df40-ad97-b69d37310000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Stefan Ciobaca&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3680-df40-ad97-b69d372b0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Stefan Ciobaca</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>Alexandru Ioan Cuza University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>An Interactive Proof Mode for Dafny</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/joao-ferreira” data-cms-id=”00000196-f4f1-d5f3-af9e-f4f59c7c0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/joao-ferreira” 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Ferreira&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3680-da03-a5d7-ffcd672c0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Joo Ferreira</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>INESC-ID</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Polyglot Automated Program Repair for Infrastructure as Code</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”20″ class=”xl66″ width=”135″ style=”height:15.0pt;width:101pt”><a href=”https://www.amazon.science/research-awards/recipients/mirco-giacobbe” data-cms-id=”00000196-f4fd-d957-a396-feff222b0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/mirco-giacobbe” 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Giacobbe&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3680-d23f-a3ff-f6aba0da0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Mirco Giacobbe</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>University of Birmingham</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Neural Software Verification</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/tobias-grosser” data-cms-id=”0000018f-0e10-dc75-abaf-7f525b050000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/tobias-grosser” 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Grosser&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3680-d1b2-a397-36b2d1ad0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Tobias Grosser</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>University of Cambridge</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Synthesis-based Symbolic BitVector Simplification for Lean</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/ronghui-gu” data-cms-id=”00000188-9255-dbd2-a1db-fad507a70000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/ronghui-gu” 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Gu&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3681-da03-a5d7-ffcd07900000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Ronghui Gu</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>Columbia University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Scaling Formal Verification of Security Properties for Unmodified System Software</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/alexey-ignatiev” data-cms-id=”00000196-f478-dd94-ad97-f4ff7b120000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/alexey-ignatiev” 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Ignatiev&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3681-dd34-a3ff-7fd335c60000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Alexey Ignatiev</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>Monash University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Huub: Next-Gen Lazy Clause Generation</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/kenneth-mcmillan” data-cms-id=”00000196-f4ff-d957-a396-feff01330000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/kenneth-mcmillan” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748966150239,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748966150239,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f4ff-d957-a396-feff01330000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3681-d23f-a3ff-f6ab68f20000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Kenneth McMillan&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3681-d23f-a3ff-f6ab68e90000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Kenneth McMillan</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>University of Texas At Austin</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Synthesis of Auxiliary Variables and Invariants for Distributed Protocol Verification</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/alexandra-mendes” data-cms-id=”00000196-f4fb-d957-a396-feff544d0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/alexandra-mendes” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748966164850,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748966164850,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f4fb-d957-a396-feff544d0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3681-dd34-a3ff-7fd39e2a0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Alexandra Mendes&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3681-dd34-a3ff-7fd39e210000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Alexandra Mendes</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>University of Porto</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Overcoming Barriers to the Adoption of Verification-Aware Languages</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/jason-nieh” data-cms-id=”00000188-9257-dbd2-a1db-fad7b8490000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/jason-nieh” 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Nieh&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3681-da03-a5d7-ffcdd6500000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Jason Nieh</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>Columbia University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Scaling Formal Verification of Security Properties for Unmodified System Software</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/rohan-padhye” data-cms-id=”00000188-9255-dbd2-a1db-fad5092b0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/rohan-padhye” 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Padhye&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3682-d23f-a3ff-f6ab09f10000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Rohan Padhye</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>Carnegie Mellon University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Automated Synthesis and Evaluation of Property-Based Tests</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/fortunat-rajaona” data-cms-id=”00000196-f463-d69c-af96-fc6734b50000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/fortunat-rajaona” 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Rajaona&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3682-d23f-a3ff-f6ab3d850000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Fortunat Rajaona</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>University of Surrey</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Phoebe+: An Automated-Reasoning Tool for Provable Privacy in Cryptographic Systems</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/subhajit-roy” data-cms-id=”00000196-f502-d957-a396-ff5e4a290000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/subhajit-roy” 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Roy&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3682-da03-a5d7-ffcf6edf0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Subhajit Roy</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>Indian Institute of Technology Kanpur</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Theorem Proving Modulo LLM</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/gagandeep-singh” data-cms-id=”00000196-f46c-d69c-af96-fc6efdf30000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/gagandeep-singh” 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Singh&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3682-da03-a5d7-ffcfba770000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Gagandeep Singh</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>University of Illinois At UrbanaChampaign</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Trustworthy LLM Systems using Formal Contracts</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/scott-stoller” data-cms-id=”00000196-f46a-dd94-ad97-f4ff16e70000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/scott-stoller” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748966247968,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748966247968,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f46a-dd94-ad97-f4ff16e70000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3682-dd34-a3ff-7fd3eb0c0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Scott Stoller&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3682-dd34-a3ff-7fd3eb060000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Scott Stoller</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>Stony Brook University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Restricter: An Automatic Tool for Authoring Amazon Cedar Access Control Policies with the Principle of Least Privilege</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”20″ class=”xl66″ width=”135″ style=”height:15.0pt;width:101pt”><a href=”https://www.amazon.science/research-awards/recipients/peter-stuckey” data-cms-id=”00000196-f476-dd94-ad97-f4fff4600000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/peter-stuckey” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748966264947,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748966264947,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f476-dd94-ad97-f4fff4600000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3683-df40-ad97-b69f18300000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Peter Stuckey&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3683-df40-ad97-b69f18290000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Peter Stuckey</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>Monash University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Huub: Next-Gen Lazy Clause Generation</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/yulei-sui” data-cms-id=”00000196-f465-dd94-ad97-f4fff04e0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/yulei-sui” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748966283536,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748966283536,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f465-dd94-ad97-f4fff04e0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3683-d23f-a3ff-f6ab5b9f0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Yulei Sui&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3683-d23f-a3ff-f6ab5b970000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Yulei Sui</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>University of New South Wales</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Path-Sensitive Typestate Analysis through Sparse Abstract Execution</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/nikos-vasilakis” data-cms-id=”00000196-f4f7-d957-a396-feff12da0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/nikos-vasilakis” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748966296140,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748966296140,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f4f7-d957-a396-feff12da0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3683-d5b3-a9f7-be83a51e0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Nikos Vasilakis&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3683-d5b3-a9f7-be83a5150000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Nikos Vasilakis</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>Brown University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Semantics-Driven Static Analysis for the Unix/Linux Shell</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/ping-wang” data-cms-id=”00000196-f46b-d69c-af96-fc6f73960000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/ping-wang” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748966308787,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748966308787,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f46b-d69c-af96-fc6f73960000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3683-da03-a5d7-ffcfd5430000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Ping Wang&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3683-da03-a5d7-ffcfd53a0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Ping Wang</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>Stevens Institute of Technology</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>Leveraging Large Language Models for Reasoning Augmented Searching on Domain-specific NoSQL Database</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/john-wawrzynek” data-cms-id=”00000196-f475-dd94-ad97-f4ff402b0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/john-wawrzynek” 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Wawrzynek&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3684-d23f-a3ff-f6af036f0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>John Wawrzynek</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”175″ style=”border-top:none;width:131pt”>University of California, Berkeley</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”285″ style=”border-top:none;border-left:none;width:214pt”>GPU-Accelerated High-Throughput SAT Sampling</td></tr></tbody>
AWS AI
<tbody><tr><td colspan=”1″ rowspan=”1″><b>Recipient</b></td><td colspan=”1″ rowspan=”1″><b>University</b></td><td colspan=”1″ rowspan=”1″><b>Research title</b></td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/panagiotis-adamopoulos” data-cms-id=”00000196-f3c0-dd94-ad97-f7dff51f0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/panagiotis-adamopoulos” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748966365424,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748966365424,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f3c0-dd94-ad97-f7dff51f0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3684-df40-ad97-b69db6290000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Panagiotis Adamopoulos&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3684-df40-ad97-b69db6200000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Panagiotis Adamopoulos</a></td><td colspan=”1″ rowspan=”1″ class=”xl67″ width=”162″ style=”width:121pt”>Emory University</td><td colspan=”1″ rowspan=”1″ class=”xl67″ width=”174″ style=”width:130pt”>Generative AI solutions for The Spillover Effect of Fraudulent Reviews on Product Recommendations</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/vikram-adve” data-cms-id=”00000188-9258-dbd2-a1db-fad98acc0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/vikram-adve” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967163514,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967163514,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000188-9258-dbd2-a1db-fad98acc0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3684-d5b3-a9f7-be84e3590000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Vikram Adve&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3684-d5b3-a9f7-be84e3500000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Vikram Adve</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”width:121pt”>University of Illinois at UrbanaChampaign</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-left:none;width:130pt”>Fellini: Differentiable ML Compiler for Full-Graph Optimization for LLM Models</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/frances-arnold” data-cms-id=”00000196-efef-dbbc-a7de-ffffbc620000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/frances-arnold” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967179974,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967179974,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-efef-dbbc-a7de-ffffbc620000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3691-d23f-a3ff-f6bb13b60000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Frances Arnold&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3691-d23f-a3ff-f6bb13ad0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Frances Arnold</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>California Institute of Technology</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Closed-loop Generative Machine Learning for De Novo Enzyme Discovery and Optimization</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/yonatan-bisk” data-cms-id=”00000196-eff8-d41c-a3df-effd09d80000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/yonatan-bisk” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967191163,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967191163,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-eff8-d41c-a3df-effd09d80000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3691-dd34-a3ff-7fd350c70000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Yonatan Bisk&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3691-dd34-a3ff-7fd350c10000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Yonatan Bisk</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>Carnegie Mellon University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Useful, Safe, and Robust Multiturn Interactions with LLMs</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/shiyu-chang” data-cms-id=”00000196-f002-d41c-a3df-f04f10490000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/shiyu-chang” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967204023,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967204023,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f002-d41c-a3df-f04f10490000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3691-d23f-a3ff-f6bb7bc90000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Shiyu Chang&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3691-d23f-a3ff-f6bb7bc20000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Shiyu Chang</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>University of California, Santa Barbara</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Cut the Crap: Advancing the Efficient Communication of Multi-Agent Systems via Spatial-Temporal Topology Design and KV Cache Sharing</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/yuxin-chen” data-cms-id=”00000196-effa-d41c-a3df-efff73b70000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/yuxin-chen” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967216353,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967216353,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-effa-d41c-a3df-efff73b70000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3691-dd34-a3ff-7fd3af410000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Yuxin Chen&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3691-dd34-a3ff-7fd3af3b0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Yuxin Chen</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>University of Pennsylvania</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Provable Acceleration of Diffusion Models for Modern Generative AI</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/tianlong-chen” data-cms-id=”00000196-efff-d41c-a3df-efff3c610000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/tianlong-chen” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967227811,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967227811,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-efff-d41c-a3df-efff3c610000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3691-dd34-a3ff-7fd3dec80000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Tianlong Chen&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3691-dd34-a3ff-7fd3dec00000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Tianlong Chen</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>University of North Carolina at Chapel Hill</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Cut the Crap: Advancing the Efficient Communication of Multi-Agent Systems via Spatial-Temporal Topology Design and KV Cache Sharing</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/mingyu-ding” data-cms-id=”00000196-eff3-d41c-a3df-efff69820000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/mingyu-ding” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967246244,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967246244,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-eff3-d41c-a3df-efff69820000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3692-d23f-a3ff-f6bb0d320000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Mingyu Ding&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3692-d23f-a3ff-f6bb0d2d0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Mingyu Ding</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>University of North Carolina at Chapel Hill</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Aligning Long Videos and Language as Long-Horizon World Models</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/nikhil-garg” data-cms-id=”0000018f-0e2d-dce3-af9f-4efd5cdc0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/nikhil-garg” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967258544,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967258544,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;0000018f-0e2d-dce3-af9f-4efd5cdc0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3692-dd34-a3ff-7fd351ad0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Nikhil Garg&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3692-dd34-a3ff-7fd351a60000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Nikhil Garg</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>Cornell University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Market Design for Responsible Multi-agent LLMs</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/jessica-hullman” data-cms-id=”00000196-f3a4-dd94-ad97-f7bf98490000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/jessica-hullman” 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Hullman&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3692-dd34-a3ff-7fd384560000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Jessica Hullman</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>Northwestern University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Human-Aligned Uncertainty Quantification in High Dimensions</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/christopher-jermaine” data-cms-id=”00000196-ef10-dbbc-a7de-ff5308810000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/christopher-jermaine” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967285624,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967285624,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-ef10-dbbc-a7de-ff5308810000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3692-d23f-a3ff-f6bbbd060000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Christopher Jermaine&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3692-d23f-a3ff-f6bbbd000000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Christopher Jermaine</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>Rice University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Fast, Trusted AI Using the EINSUMMABLE Compiler</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/yunzhu-li” data-cms-id=”00000196-f009-dbbc-a7de-f15b10e10000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/yunzhu-li” 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Li&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3692-d23f-a3ff-f6bbee8f0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Yunzhu Li</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>Columbia University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Physics-Informed Foundation Models Through Embodied Interactions</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/pattie-maes” data-cms-id=”00000196-f3d2-d69c-af96-fff617430000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/pattie-maes” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967308974,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967308974,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f3d2-d69c-af96-fff617430000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3693-d23f-a3ff-f6bb1e6c0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Pattie Maes&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3693-d23f-a3ff-f6bb1e670000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Pattie Maes</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>Massachusetts Institute of Technology</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Understanding How LLM Agents Deviate from Human Choices</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/sasa-misailovic” data-cms-id=”00000196-efc4-d41c-a3df-efcdf1080000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/sasa-misailovic” 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Misailovic&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3693-dd34-a3ff-7fd347ad0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Sasa Misailovic</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>University of Illinois at UrbanaChampaign</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Fellini: Differentiable ML Compiler for Full-Graph Optimization for LLM Models</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/kristina-monakhova” data-cms-id=”00000196-f3af-d69c-af96-ffaf98780000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/kristina-monakhova” 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Monakhova&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3693-d23f-a3ff-f6bb73580000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Kristina Monakhova</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>Cornell University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Trustworthy extreme imaging for science using interpretable uncertainty quantification</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/todd-mowry” data-cms-id=”00000196-efb8-dbbc-a7de-fffb70d60000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/todd-mowry” 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Mowry&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3693-dd34-a3ff-7fd3aade0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Todd Mowry</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>Carnegie Mellon University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Efficient LLM Serving on Trainium via Kernel Generation</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/min-hwan-oh” data-cms-id=”00000196-f3b6-d69c-af96-ffb608e40000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/min-hwan-oh” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967357021,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967357021,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f3b6-d69c-af96-ffb608e40000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3693-d23f-a3ff-f6bbd9690000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Min-hwan Oh&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3693-d23f-a3ff-f6bbd9610000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Min-hwan Oh</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>Seoul National University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Mutually Beneficial Interplay Between Selection Fairness and Context Diversity in Contextual Bandits</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/patrick-rebeschini” data-cms-id=”00000196-effd-dbbc-a7de-ffff13700000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/patrick-rebeschini” 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Rebeschini&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3694-dd34-a3ff-7fd7023a0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Patrick Rebeschini</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>University of Oxford</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Optimal Regularization for LLM Alignment</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/jose-renau” data-cms-id=”00000196-f3a0-dd94-ad97-f7bf5d880000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/jose-renau” 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Renau&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3694-dd34-a3ff-7fd72fb80000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Jose Renau</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>University of California, Santa Cruz</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Verification Constrained Hardware Optimization using Intelligent Design Agentic Programming</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/vilma-todri” data-cms-id=”00000196-f3c2-dd94-ad97-f7dffd220000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/vilma-todri” 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Todri&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3694-d23f-a3ff-f6bf5c260000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Vilma Todri</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>Emory University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Generative AI solutions for The Spillover Effect of Fraudulent Reviews on Product Recommendations</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/aravindan-vijayaraghavan” data-cms-id=”00000196-f3a7-d69c-af96-ffa727d50000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/aravindan-vijayaraghavan” 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Vijayaraghavan&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3694-d23f-a3ff-f6bf8aa50000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Aravindan Vijayaraghavan</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>Northwestern University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Human-Aligned Uncertainty Quantification in High Dimensions</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/wei-yang” data-cms-id=”00000196-efd1-d41c-a3df-efdd570c0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/wei-yang” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967414018,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967414018,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-efd1-d41c-a3df-efdd570c0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3694-d23f-a3ff-f6bfb5480000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Wei Yang&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3694-d23f-a3ff-f6bfb5420000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Wei Yang</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>University of Texas at Dallas</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Optimizing RISC-V Compilers with RISC-LLM and Syntax Parsing</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/huaxiu-yao” data-cms-id=”00000196-eff5-d41c-a3df-effdd5fe0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/huaxiu-yao” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967432850,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967432850,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-eff5-d41c-a3df-effdd5fe0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3695-dd34-a3ff-7fd703150000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Huaxiu Yao&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3695-dd34-a3ff-7fd7030b0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Huaxiu Yao</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>University of North Carolina at Chapel Hill</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Aligning Long Videos and Language as Long-Horizon World Models</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/amy-zhang” data-cms-id=”00000196-f3c4-dd94-ad97-f7df9fc20000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/amy-zhang” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967448147,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967448147,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f3c4-dd94-ad97-f7df9fc20000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3695-d23f-a3ff-f6bf2eb10000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Amy Zhang&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3695-d23f-a3ff-f6bf2eab0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Amy Zhang</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>University of Washington</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Tools for Governing AI Agent Autonomy</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/ruqi-zhang” data-cms-id=”00000196-f3b3-dd94-ad97-f7bf55460000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/ruqi-zhang” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967462196,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967462196,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f3b3-dd94-ad97-f7bf55460000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3695-dd34-a3ff-7fd769aa0000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Ruqi Zhang&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3695-dd34-a3ff-7fd769a50000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Ruqi Zhang</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”162″ style=”border-top:none;width:121pt”>Purdue University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”174″ style=”border-top:none;border-left:none;width:130pt”>Efficient Test-time Alignment for Large Language Models and Large Multimodal Models</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/zheng-zhang” data-cms-id=”00000196-efcf-d41c-a3df-efcfa8a40000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/zheng-zhang” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967475461,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967475461,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-efcf-d41c-a3df-efcfa8a40000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-3695-d23f-a3ff-f6bfa1a80000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Zheng Zhang&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-3695-d23f-a3ff-f6bfa19f0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Zheng Zhang</a></td><td colspan=”1″ rowspan=”1″>Rutgers University-New Brunswick</td><td colspan=”1″ rowspan=”1″>AlphaQC: An AI-powered Quantum Circuit Optimizer and Denoiser</td></tr></tbody>
AWS Cryptography
<tbody><tr><td colspan=”1″ rowspan=”1″><b>Recipient</b></td><td colspan=”1″ rowspan=”1″><b>University</b></td><td colspan=”1″ rowspan=”1″><b>Research title</b></td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/alexandra-boldyreva” data-cms-id=”00000196-f50f-d5f3-af9e-f5bf87f10000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/alexandra-boldyreva” 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Boldyreva&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369c-d23f-a3ff-f6bfb9e00000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Alexandra Boldyreva</a></td><td colspan=”1″ rowspan=”1″ class=”xl67″ width=”171″ style=”width:128pt”>Georgia Institute of Technology</td><td colspan=”1″ rowspan=”1″ class=”xl67″ width=”202″ style=”width:151pt”>Quantifying Information Leakage in Searchable Encryption Protocols</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/maria-eichlseder” data-cms-id=”00000196-f51d-d5f3-af9e-f5bd6c8f0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/maria-eichlseder” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967955452,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967955452,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f51d-d5f3-af9e-f5bd6c8f0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-369c-d23f-a3ff-f6bfeef80000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Maria Eichlseder&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369c-d23f-a3ff-f6bfeef30000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Maria Eichlseder</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”width:128pt”>Graz University of Technology, Austria</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”border-left:none;width:151pt”>SALAD Systematic Analysis of Lightweight Ascon-based Designs</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/venkatesan-guruswami” data-cms-id=”00000196-f511-d5f3-af9e-f5b580ef0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/venkatesan-guruswami” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967968239,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967968239,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f511-d5f3-af9e-f5b580ef0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-369d-dd34-a3ff-7fdf24920000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Venkatesan Guruswami&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369d-dd34-a3ff-7fdf248b0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Venkatesan Guruswami</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”border-top:none;width:128pt”>University of California, Berkeley</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”border-top:none;border-left:none;width:151pt”>Obfuscation, Proof Systems, and Secure Computation: A Research Program on Cryptography at the Simons Institute for the Theory of Computing</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/joseph-jaeger” data-cms-id=”00000196-f514-d957-a396-ff5e245b0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/joseph-jaeger” 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Jaeger&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369d-dd34-a3ff-7fdf5bf80000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Joseph Jaeger</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”border-top:none;width:128pt”>Georgia Institute of Technology</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”border-top:none;border-left:none;width:151pt”>Analyzing Chat Encryption for Group Messaging</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”39″ class=”xl66″ width=”117″ style=”height:29.4pt;width:88pt”><a href=”https://www.amazon.science/research-awards/recipients/aayush-jain” data-cms-id=”00000196-f509-d5f3-af9e-f5bd37f20000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/aayush-jain” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748967994921,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748967994921,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f509-d5f3-af9e-f5bd37f20000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-369d-d23f-a3ff-f6bf94530000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Aayush Jain&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369d-d23f-a3ff-f6bf944b0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Aayush Jain</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”border-top:none;width:128pt”>Carnegie Mellon</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”border-top:none;border-left:none;width:151pt”>Large Scale Multiparty Silent Preprocessing for MPC from LPN</td></tr><tr><td colspan=”1″ rowspan=”1″ height=”39″ class=”xl66″ width=”117″ style=”height:29.4pt;width:88pt”><a href=”https://www.amazon.science/research-awards/recipients/huijia-lin” data-cms-id=”00000196-f50a-d957-a396-ff5eb3e50000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/huijia-lin” 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Lin&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369d-d23f-a3ff-f6bfc4c20000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Huijia Lin</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”border-top:none;width:128pt”>University of Washington</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”border-top:none;border-left:none;width:151pt”>Large Scale Multiparty Silent Preprocessing for MPC from LPN</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/hamed-nemati” data-cms-id=”00000196-f50d-d5f3-af9e-f5bd00050000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/hamed-nemati” 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Nemati&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369e-dd34-a3ff-7fdf17ba0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Hamed Nemati</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”border-top:none;width:128pt”>KTH Royal Institute of Technology</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”border-top:none;border-left:none;width:151pt”>Trustworthy Automatic Verification of Side-Channel Countermeasures for Binary Cryptographic Programs using the HoIBA libary</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/karl-palmskog” data-cms-id=”00000196-f50e-d5f3-af9e-f5bf57800000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/karl-palmskog” 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Palmskog&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369e-d23f-a3ff-f6bf4e400000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Karl Palmskog</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”border-top:none;width:128pt”>KTH Royal Institute of Technology</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”border-top:none;border-left:none;width:151pt”>Trustworthy Automatic Verification of Side-Channel Countermeasures for Binary Cryptographic Programs using the HoIBA libary</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/chris-piekert” data-cms-id=”00000196-f507-d5f3-af9e-f5b794a90000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/chris-piekert” 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Piekert&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369e-d23f-a3ff-f6bf8d390000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Chris Piekert</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”border-top:none;width:128pt”>University of Michigan, Ann Arbor</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”border-top:none;border-left:none;width:151pt”>Practical Third-Generation FHE and Bootstrapping</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/dimitrios-skarlatos” data-cms-id=”00000196-f515-d957-a396-ff5f86bf0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/dimitrios-skarlatos” 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Skarlatos&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369e-d23f-a3ff-f6bfc4d80000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Dimitrios Skarlatos</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”border-top:none;width:128pt”>Carnegie Mellon University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”border-top:none;border-left:none;width:151pt”>Scale-Out FHE LLMs on GPUs</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/vinod-vaikuntanathan” data-cms-id=”00000196-f51a-d5f3-af9e-f5bf81dc0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/vinod-vaikuntanathan” link-data=”{&quot;cms.site.owner&quot;:{&quot;_ref&quot;:&quot;0000016e-17e7-d263-a5fe-fff724f30000&quot;,&quot;_type&quot;:&quot;ae3387cc-b875-31b7-b82d-63fd8d758c20&quot;},&quot;cms.content.publishDate&quot;:1748968085679,&quot;cms.content.publishUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;cms.content.updateDate&quot;:1748968085679,&quot;cms.content.updateUser&quot;:{&quot;_ref&quot;:&quot;0000017f-b709-d2ad-a97f-f7fd25e30000&quot;,&quot;_type&quot;:&quot;6aa69ae1-35be-30dc-87e9-410da9e1cdcc&quot;},&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;link&quot;:{&quot;rekognitionVideo.timeFrameMetadata&quot;:[],&quot;attributes&quot;:[],&quot;item&quot;:{&quot;_ref&quot;:&quot;00000196-f51a-d5f3-af9e-f5bf81dc0000&quot;,&quot;_type&quot;:&quot;07a8c4fb-2e5e-394d-8c44-6bb1ed9f87f6&quot;},&quot;_id&quot;:&quot;00000197-369e-d23f-a3ff-f6bff7370000&quot;,&quot;_type&quot;:&quot;c3f0009d-3dd9-3762-acac-88c3a292c6b2&quot;},&quot;linkText&quot;:&quot;Vinod Vaikuntanathan&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369e-d23f-a3ff-f6bff7320000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Vinod Vaikuntanathan</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”border-top:none;width:128pt”>Massachusetts Institute of Technology</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”border-top:none;border-left:none;width:151pt”>Can Quantum Computers (Really) Factor?</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/daniel-wichs” data-cms-id=”00000196-f512-d5f3-af9e-f5b7dc450000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/daniel-wichs” 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Wichs&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369f-d23f-a3ff-f6bf2a120000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Daniel Wichs</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”border-top:none;width:128pt”>Northeastern University</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”border-top:none;border-left:none;width:151pt”>Obfuscation, Proof Systems, and Secure Computation: A Research Program on Cryptography at the Simons Institute for the Theory of Computing</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/david-wu” data-cms-id=”00000196-f51c-d957-a396-ff5e295c0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/david-wu” 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Wu&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369f-d23f-a3ff-f6bf666a0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>David Wu</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”171″ style=”border-top:none;width:128pt”>University Of Texas At Austin</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”202″ style=”border-top:none;border-left:none;width:151pt”>Fast Private Information Retrieval and More using Homomorphic Encryption</td></tr></tbody>
Sustainability
<tbody><tr><td colspan=”1″ rowspan=”1″><b>Recipient</b></td><td colspan=”1″ rowspan=”1″><b>University</b></td><td colspan=”1″ rowspan=”1″><b>Research title</b></td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/meeyoung-cha” data-cms-id=”00000196-f522-d957-a396-ff7e706b0000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/meeyoung-cha” 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Cha&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369f-d23f-a3ff-f6bfa3ba0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Meeyoung Cha</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”190″ style=”border-left:none;width:143pt”>Max Planck Institute</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”219″ style=”border-left:none;width:164pt”>Forest-Blossom (Flossom): A New Framework for Sustaining Forest Biodiversity Through Outcome-Driven Remote Sensing Monitoring</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/jingrui-he” data-cms-id=”00000196-f520-d5f3-af9e-f5b5e8c40000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/jingrui-he” 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He&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-369f-dd34-a3ff-7fdfd78d0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Jingrui He</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”190″ style=”border-top:none;border-left:none;width:143pt”>University of Illinois at UrbanaChampaign</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”219″ style=”border-top:none;border-left:none;width:164pt”>Foundation Model Enabled Earths Ecosystem Monitoring</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/pedro-lopes” data-cms-id=”00000196-f51f-d957-a396-ff5f2bc00000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/pedro-lopes” 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Lopes&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-36a0-dd34-a3ff-7ff394ff0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Pedro Lopes</a></td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”190″ style=”border-top:none;border-left:none;width:143pt”>University of Chicago</td><td colspan=”1″ rowspan=”1″ class=”xl65″ width=”219″ style=”border-top:none;border-left:none;width:164pt”>AI-powered Tools that Enable Engineers to Make &amp; Re-make Sustainable Hardware</td></tr><tr><td colspan=”1″ rowspan=”1″><a href=”https://www.amazon.science/research-awards/recipients/cheng-yaw-low” data-cms-id=”00000196-f524-d5f3-af9e-f5b5e2c60000″ data-cms-href=”https://www.amazon.science/research-awards/recipients/cheng-yaw-low” 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Yaw Low&quot;,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.enhancementAlignment&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs.overlayText&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.hbs._preset&quot;:null,&quot;theme.0000016e-17e8-d263-a5fe-fff8347d0000.:core:enhancement:Enhancement.amp.hbs._preset&quot;:null,&quot;_id&quot;:&quot;00000197-36a0-d23f-a3ff-f6abc7ed0000&quot;,&quot;_type&quot;:&quot;809caec9-30e2-3666-8b71-b32ddbffc288&quot;}”>Cheng Yaw Low</a></td><td colspan=”1″ rowspan=”1″ class=”xl67″ width=”190″ style=”width:143pt”>Max Planck Institute</td><td colspan=”1″ rowspan=”1″ class=”xl67″ width=”219″ style=”width:164pt”>Forest-Blossom (Flossom): A New Framework for Sustaining Forest Biodiversity Through Outcome-Driven Remote Sensing Monitoring</td></tr></tbody>
Tags: Generative AI