Can computers help us synthesize new materials?
Machine-learning system finds patterns in materials “recipes,” even when training data is lacking.
Machine-learning system finds patterns in materials “recipes,” even when training data is lacking.
Platform analyzes big data to answer plain-language business queries in minutes instead of months.
A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.
Students put their AI software for underwater vehicles to the test on the Charles River.
Results may help explain how humans do the same thing.
Math graduate student’s Data for Black Lives conference provides numbers behind the technologies that enable exclusion.
Professors Goldwasser, Lozano-Perez, Micali, and Sipser honored for "providing key knowledge" to computing.
Technique illuminates the inner workings of artificial-intelligence systems that process language.
Technologies named among the year's most significant innovations address health care, radar performance, aircraft collision avoidance, and 24-hour wide-area surveillance.
Improved recommendation algorithm should work especially well when ratings data are “sparse.”
Class taught by Vivienne Sze and Joel Emer brings together traditionally separate disciplines for advances in deep learning.
Associate professor of electrical engineering and computer science was part of a group that earned acclaim for work on a new video compression standard.
Workshop brings together academia and industry to explore how to prepare next-generation wireless for machine-to-machine communication.
Ryan Williams has taken a key step toward solving the biggest problem in theoretical computer science.
Boston Globe op-ed by MIT president calls for a “whole-society effort” to address profound challenges posed by automation.