Posts in category: Amazon AWS

Sahika Genc, Amazon principal applied scientist, writes about three important ways reinforcement learning is used in the real world, and explains how you can get hands on with it.Read More

Liane Lewin-Eytan, senior manager of applied research within the Alexa Shopping organization, talks about the mechanisms that enable scientists in Alexa Shopping to maintain a balance between “moonshot” goals and “rooftop” deliverables.Read More

Improvements come from new transfer learning method, new publicly released data set.Read More

Only 15% of submissions to “boutique” conference are accepted; four Amazon papers to be presented.Read More

Principal research scientist Betty Mohler talks about virtual reality, digital humans and Amazon.Read More

Spotting deepfakes, indoor farming, precision cancer treatment, and more.Read More

New “Mad Libs” technique for replacing words in individual sentences is grounded in metric differential privacy.Read More

Self-learning system uses customers’ rephrased requests as implicit error signals.Read More

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

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