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.
Indigenous knowledge and technology at MIT: “Is it wise?”
A week of workshops, lab visits, and pairings matched Indigenous delegates with relevant labs and researchers across MIT.
Neuroscientists find a way to make object-recognition models perform better
Adding a module that mimics part of the brain can prevent common errors made by computer vision models.
Shrinking massive neural networks used to model language
A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing.
How humans use objects in novel ways to solve problems
What's SSUP? The Sample, Simulate, Update cognitive model developed by MIT researchers learns to use tools like humans do.