AWS sponsored the challenge and provided resources for participants to prepare and process data and then train, deploy, and test their models.Read More
How Alexa’s new Live Translation for conversations works
Parallel speech recognizers, language ID, and translation models geared to conversational speech are among the modifications that make Live Translation possible.Read More
Multi-agent reinforcement learning for an uncertain world
With a new method, agents can cope better with the differences between simulated training environments and real-world deployment.Read More
AWS director of machine learning explains the significance of new Amazon HealthLake service
Taha Kass-Hout says the service’s secret sauce is its ability to create a comprehensive data set within a secure data lake that can be organized by different attributes, and then queried and analyzed with advanced analytics and machine learning.Read More
How Clarify helps machine learning developers detect unintended bias
Learn why the science team behind Clarify turned to a concept from 1951 to address a modern complexity.Read More
The science behind Amazon SageMaker’s distributed-training engines
How SageMaker’s data-parallel and model-parallel engines make training neural networks easier, faster, and cheaper.Read More
AWS democratizes access to the largest genomic sequences repository — NIH’s Sequence Read Archive
For the first time, the largest genomic sequencing repository in the Americas will be natively accessible on AWS through the Open Data Sponsorship Program.Read More
Amazon Scholar George Karypis receives ICDM 10-Year-Highest-Impact award
University of Minnesota professor and Amazon Scholar, together with coauthor, receives recognition for paper that proposes novel approach to algorithm that generates high-quality recommendations for e-commerce products at high speeds.Read More
OpenAI at NeurIPS 2020
Live demos and discussions at our virtual booth.OpenAI
NeurIPS: Shipra Agrawal on the appeal of reinforcement learning
This Amazon Scholar’s work spans two of the most popular topics at the most popular AI conference: reinforcement learning and bandit problems.Read More