New “Mad Libs” technique for replacing words in individual sentences is grounded in metric differential privacy.Read More
How we taught Alexa to correct her own defects
Self-learning system uses customers’ rephrased requests as implicit error signals.Read More
Amazon’s internal conferences build a sense of community: Kevin Small
Kevin Small has been involved in organizing many of Amazon’s internal conferences in his more than five years at Amazon. In this conversation, Kevin explains how Amazon’s internal conferences facilitate important breakthroughs, forge collaborations between groups, and help advance one’s career.Read More
How AWS gets ideas for its new AI products and services
At re:Invent 2019, Amazon executive Swami Sivasubramanian spoke about a commitment to democratizing machine learning, and making its benefits available to all.Read More
The research behind Alexa’s popular whispered speech
According to listener tests, whispers produced by a new machine learning model sound as natural as vocoded human whispers.Read More
How NASA uses AWS to protect life and infrastructure on earth
NASA is using unsupervised learning and anomaly detection to explore the extreme conditions associated with solar superstorms.Read More
Why do customers buy seemingly irrelevant products?
Analysis points to better algorithms for product discovery.Read More
Amazon’s AutoGluon helps developers deploy deep learning models with just a few lines of code
AutoGluon democratizes machine learning, and makes the power of deep learning available to all developers.Read More
Multilingual shopping systems
Training a product discovery system on many languages at once improves performance in all of them.Read More
Amazon at AEA: The crossroads of economics and AI
Pat Bajari, VP and chief economist for Amazon’s Core AI group, on his team’s new research and what it says about economists’ role at Amazon.Read More