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How a university researcher is using machine learning to help identify suicide risk

Using social media data, the University of Maryland’s Philip Resnik aims to help clinicians prioritize individuals who may need immediate attention.Read More

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Teaching robots to respond to natural-language commands

Technique that relies on inverse reinforcement learning, or learning by example, improves task completion rate by 14% to 17% in simulations.Read More

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Alexa & Friends features Kayoko Yanagisawa, Alexa AI senior speech scientist

Yanagisawa discusses the science behind Alexa’s new bilingual Polyglot model, her career in speech research, and more.Read More

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How AWS scientists help create the NFL’s Next Gen Stats

In its collaboration with the NFL, AWS contributes cloud computing technology, machine learning services, business intelligence services — and, sometimes, the expertise of its scientists.Read More

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The quantum gambit

How an Amazon quantum computing scientist won the first-ever quantum chess tournament.Read More

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AWS scientists coauthor 13 QIP 2021 quantum computing papers

Researchers affiliated with Amazon Web Services’ Center for Quantum Computing are presenting their work this week at the Conference on Quantum Information Processing.Read More

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“Talking to the public about AI”

The University of Oxford’s Michael Wooldridge and Amazon’s Zachary Lipton on the topic of Wooldridge’s AAAI keynote — and the road ahead for AI research.Read More

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English-language Alexa voice learns to speak Spanish

Neural text-to-speech enables new multilingual model to use the same voice for Spanish and English responses.Read More

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Does the Turing Test pass the test of time?

Four Amazon scientists weigh in on whether the famed mathematician’s definition of artificial intelligence is still applicable, and what might surprise him most today.Read More

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Columbia Center of AI Technology announces faculty research awards and two PhD student fellowships

Amazon is providing $5 million in funding over five years to support research, education, and outreach programs.Read More

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Recent Posts

  • Overcoming Vocabulary Constraints with Pixel-level Fallback
  • Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping
  • AXLearn: Modular Large Model Training on Heterogeneous Infrastructure
  • ILuvUI: Instruction-Tuned Language-Vision Modeling of UIs from Machine Conversations
  • Advanced fine-tuning methods on Amazon SageMaker AI

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