“Liquid” machine-learning system adapts to changing conditions
The new type of neural network could aid decision making in autonomous driving and medical diagnosis.
Design progresses for MIT Schwarzman College of Computing building on Vassar Street
New building will create a hub for computing research and education at MIT, including spaces designed to be inviting to members of the campus community and the public.
Learning with — and about — AI technology
At Open Learning Talks, Cynthia Breazeal and Eric Klopfer discuss artificial intelligence education.
3 Questions: Thomas Malone and Daniela Rus on how AI will change work
MIT Task Force on the Work of the Future releases research brief "Artificial Intelligence and the Future of Work."
Fengdi Guo awarded first place in LTTP Data Analysis Student Contest
In an award-winning paper, the PhD student and MIT CSHub research assistant measures how the weight of vehicles deteriorates pavements.
Designing customized “brains” for robots
A new system devises hardware architectures to hasten robots’ response time.
Three MIT faculty elected 2020 ACM Fellows
Association for Computing Machinery honors Anantha Chandrakasan, Alan Edelman, and Samuel Madden for work that underpins contemporary computing.
An intro to the fast-paced world of artificial intelligence
In two years, the MIT Quest for Intelligence has allowed hundreds of students to explore AI in its many applications.
James DiCarlo named director of the MIT Quest for Intelligence
Brain and cognitive sciences professor will lead the Institute’s interdisciplinary initiative to advance research in natural and artificial intelligence.
Model analyzes how viruses escape the immune system
Using this computational system, researchers can identify viral protein sequences that could make better vaccine targets.
MIT.nano’s Immersion Lab opens for researchers and students
Facility within MIT.nano offers equipment and capabilities for visualizing data, creating immersive environments.
Want cheaper nuclear energy? Turn the design process into a game
Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.
Method finds hidden warning signals in measurements collected over time
A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack.
Building machines that better understand human goals
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.
Model could help determine quarantine measures needed to reduce Covid-19’s spread
A key finding: Early reopening last spring led to a dramatic drop in “quarantine strength” in southern and west-central U.S. states.