In recent years, automatic speech recognition (ASR) has moved to all-neural models. Connectionist-temporal-classification loss functions are an attractive ...

Knowledge distillation is a popular technique for compressing large machine learning models into manageable sizes, to make them suitable for low-latency ...

The machine learning models that power conversational agents like Alexa are typically trained on labeled data, but data collection and labeling are ...

Embodied artificial intelligence (EAI) aims to train embodied agents to solve challenging multimodal tasks involving navigation and object manipulation ...

Amazon Research Awards (ARA) provides unrestricted funds and AWS Promotional Credits to academic researchers investigating various research topics in ...

On a recent ride-along with an Amazon delivery driver in New York City, Mahdieh Allahviranloo got a firsthand look at the gap between algorithm logic and ...

At this year’s Quantum Information Processing Conference (QIP), members of Amazon Web Services' Quantum Technologies group are coauthors on three papers, ...

In June 2022, Amazon re:MARS, the company’s in-person event that explores advancements and practical applications within machine learning, automation, ...

The Association for the Advancement of Artificial Intelligence’s annual Conference on Artificial Intelligence (AAAI) received around 9,000 paper submissions ...

Parmida Beigi’s career has touched many facets of machine learning and data science. From her PhD research in computer vision and time series forecasting, ...

Online bidding services were disrupting the auction industry when Pai-Ling Yin started pursuing her PhD in economics in 1997 at Stanford University. She ...

In an ongoing effort to create enduring pipelines of diverse science talent and differentiated research, Amazon today announced a collaboration with Howard ...