Many Amazon fulfillment centers use mobile robots to move shelves, retrieve products, and deliver them to workers for sorting, reducing the need for ...

Teaching large language models (LLMs) to reason is an active topic of research in natural-language processing, and a popular approach to that problem is the ...

At this year's International Conference on Machine Learning (ICML), Amazon researchers have several papers on bandit problems and differential privacy, two ...

In 2020, Amazon’s retail fulfillment network in the U.S. expanded at a rapid clip. What followed was a dramatic — and swift — operational pivot.This is the ...

Columbia Engineering and Amazon have announced four new faculty research awards for the Columbia Center of AI Technology (CAIT). The latest round of ...

Automatic speech recognition (ASR) models, which convert speech into text, come in two varieties, causal and noncausal. A causal model processes speech as ...

Once upon a time, we could confidently pull on the threads of information around us and weave them into useful knowledge, because the higher-quality threads ...

When a customer clicks on an item in a list of product-search results, it implies that that item is better than those not clicked. “Learning to rank” models ...

In 2021 and 2022, when Amazon Science asked members of the program committees of the Knowledge Discovery and Data Mining Conference (KDD) to discuss the ...

Rahul Urgaonkar wins IEEE Communications Society William R. Bennett PrizeRahul Urgaonkar, a senior applied scientist with Amazon Advertising, and his ...