Methods share a two-stage training process in which a model learns a representation from audio data, then learns to predict that representation from text.Read More
Amazon’s scientific approach to meeting – and measuring – its climate goals
How Amazon is aligning its decarbonization goals with the best available science.Read More
The bridge between supply and demand
How Amazon’s Delivery Experience team acts as a concierge for customers.Read More
On demand: The 2021 AWS Machine Learning Summit
Didn’t get the opportunity to attend the summit earlier this month? Now available on demand: Presentations on the science of machine learning by leading scholars, a fireside chat with Andrew Ng, and more career-growth content.Read More
Amazon, Berkeley release dataset of product images and metadata
Dataset includes multiple images of 147,702 products, including 360° rotations and 3-D models for thousands of them.Read More
Seokhwan Kim and Alexandros Papangelis elected to the board of members for SIGDIAL
The organization focuses on furthering the state of the art on discourse- and dialogue-related technologies.Read More
Using food images to find cooking recipes
A new method based on Transformers and trained with self-supervised learning achieves state-of-the-art performance.Read More
Privacy challenges in extreme gradient boosting
Scientists describe the use of privacy-preserving machine learning to address privacy challenges in XGBoost training and prediction.Read More
3 questions with Özalp Özer: How to build trust in business relationships
Özer’s paper published in INFORMS’ Management Science 2021 explores the dynamics behind “cheap-talk” communications.Read More
Michael J. Black elected to Germany’s National Academy of Sciences
Amazon Scholar works within Amazon’s Tübingen, Germany research center.Read More