3Q: D. Fox Harrell on his video game for the #MeToo era
The computer scientist’s group has designed a game that gets players to reflect on sexual misconduct in the workplace.
Three EECS professors join leadership team
Saman Amarasinghe and Joel Voldman are named associate department heads; Nancy Lynch is associate department head for strategic directions, a new post.
New depth sensors could be sensitive enough for self-driving cars
Computational method improves the resolution of time-of-flight depth sensors 1,000-fold.
Can computers help us synthesize new materials?
Machine-learning system finds patterns in materials “recipes,” even when training data is lacking.
Inventing the “Google” for predictive analytics
Platform analyzes big data to answer plain-language business queries in minutes instead of months.
Auto-tuning data science: New research streamlines machine learning
A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.
Unlocking marine mysteries with artificial intelligence
Students put their AI software for underwater vehicles to the test on the Charles River.
Computer systems predict objects’ responses to physical forces
Results may help explain how humans do the same thing.
Calculating the cost of tech-fueled discrimination
Math graduate student’s Data for Black Lives conference provides numbers behind the technologies that enable exclusion.
Four from MIT named 2017 Association for Computing Machinery Fellows
Professors Goldwasser, Lozano-Perez, Micali, and Sipser honored for "providing key knowledge" to computing.
Reading a neural network’s mind
Technique illuminates the inner workings of artificial-intelligence systems that process language.
MIT Lincoln Laboratory earns six R&D 100 Awards for 2017
Technologies named among the year's most significant innovations address health care, radar performance, aircraft collision avoidance, and 24-hour wide-area surveillance.
Try this! Researchers devise better recommendation algorithm
Improved recommendation algorithm should work especially well when ratings data are “sparse.”
Building the hardware for the next generation of artificial intelligence
Class taught by Vivienne Sze and Joel Emer brings together traditionally separate disciplines for advances in deep learning.
Vivienne Sze shares Engineering Emmy Award with colleagues
Associate professor of electrical engineering and computer science was part of a group that earned acclaim for work on a new video compression standard.