Reading a neural network’s mind
Technique illuminates the inner workings of artificial-intelligence systems that process language.
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.
Two-day “AI and the Future of Work” summit at MIT focused on the artificial intelligence revolution and the workplace.
System could pore through millions of research papers to extract “recipes” for producing materials.
System for performing “tensor algebra” offers 100-fold speedups over previous software packages.
Web-based system automatically evaluates proposals from far-flung data scientists.
With Shelley, the world’s first artificial intelligence-human horror story collaboration, MIT researchers aim for goosebumps.
Ultrathin films of a semiconductor that emits and detects light can be stacked on top of silicon wafers.