Posts in category: Amazon AWS

The organization focuses on furthering the state of the art on discourse- and dialogue-related technologies.Read More

A new method based on Transformers and trained with self-supervised learning achieves state-of-the-art performance.Read More

Scientists describe the use of privacy-preserving machine learning to address privacy challenges in XGBoost training and prediction.Read More

Özer’s paper published in INFORMS’ Management Science 2021 explores the dynamics behind “cheap-talk” communications.Read More

Amazon Scholar works within Amazon’s Tübingen, Germany research center.Read More

Efficient learning and the capacity for abstraction are attributes that will probably require new insights — but self-supervised learning could help.Read More

Combining classic signal processing with deep learning makes method efficient enough to run on a phone.Read More

Watch the replay of the June 15 discussion featuring five Amazon scientists.Read More

Relative to human evaluation of question-answering models, the new method has an error rate of only 7%.Read More

Register for the June 17 Annual Research Showcase organized by the Columbia Center of Artificial Intelligence.Read More