Amazon distinguished scientist Gérard Medioni on the complexities of “understanding your environment through visual input”.Read More
Amazon at AEA: Empirical economics and research design
Amazon Scholar David Card on the revolution in economic research that he helped launch and its consequences for industry.Read More
Building machine learning models with encrypted data
New approach to homomorphic encryption speeds up the training of encrypted machine learning models sixfold.Read More
The science behind Amazon’s new StyleSnap for Home feature
StyleSnap for fashion and home features are made possible by use of multiple convolutional neural networks.Read More
Amazon Machine Learning University launches new, advanced course
Decision trees class gives students access to cutting-edge instruction on key machine-learning topic.Read More
Using knowledge graphs to streamline COVID-19 research
A knowledge graph linking research papers, authors, and topics should make it easier for researchers fighting COVID-19 to discover relevant information.Read More
Christos Faloutsos awarded PAKDD’s “Most Influential Paper Award”
Amazon Scholar and Carnegie Mellon professor of artificial intelligence and coauthors honored for paper that proposed a new approach to detecting anomalies in large, weighted graphs.Read More
Amazon wins best-paper award at computational-linguistics conference
Researchers propose a method to automatically generate training data for Alexa by identifying cases in which customers rephrase unsuccessful requests.Read More
How Michelle K. Lee plans to help businesses tap into the potential of machine learning
The head of Amazon’s ML Solutions lab shares the lessons she learned leading a 200-year-old government agency — and why she’s excited about the future.Read More
Fault-tolerant quantum circuits with much lower overhead
New approach reduces the number of ancillary qubits required to implement the crucial T gate by at least an order of magnitude.Read More