Papers investigate dialogue, question-answering, self-learning, and more.Read More
Amazon re:MARS 2020 update
We have been closely monitoring the situation with COVID-19, and after much consideration, we have made the decision to cancel re:MARS 2020.Read More
3 ways reinforcement learning is changing the world around you
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
How Alexa Shopping balances long-term research with short-term goals
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
On benchmark data set, question-answering system halves error rate
Improvements come from new transfer learning method, new publicly released data set.Read More
Web Search and Data Mining conference is “extraordinarily selective”
Only 15% of submissions to “boutique” conference are accepted; four Amazon papers to be presented.Read More
Betty Mohler: Amazon is a great place to further the state-of-the-art in the world of digital humans
Principal research scientist Betty Mohler talks about virtual reality, digital humans and Amazon.Read More
7 must-see presentations from AWS re:Invent 2019
Spotting deepfakes, indoor farming, precision cancer treatment, and more.Read More
Preserving privacy in analyses of textual data
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