The neural basis of sensory hypersensitivity
A new study may explain why people with autism are often highly sensitive to light and noise.
Demystifying the world of deep networks
Researchers discover that no magic is required to explain why deep networks generalize despite going against statistical intuition.
Bringing artificial intelligence into the classroom, research lab, and beyond
Through the Undergraduate Research Opportunities Program, students work to build AI tools with impact.
Bridging the gap between human and machine vision
Researchers develop a more robust machine-vision architecture by studying how human vision responds to changing viewpoints of objects.
Brainstorming energy-saving hacks on Satori, MIT’s new supercomputer
Three-day hackathon explores methods for making artificial intelligence faster and more sustainable.
A college for the computing age
With the initial organizational structure in place, the MIT Schwarzman College of Computing moves forward with implementation.
Genetic screen offers new drug targets for Huntington’s disease
Neuroscientists identify genes that modulate the disease’s toxic effects.
With these neurons, extinguishing fear is its own reward
The same neurons responsible for encoding reward also form new memories to suppress fearful ones.
“She” goes missing from presidential language
Even when people believed Hillary Clinton would win the 2016 election, they did not use “she” to refer to the next president.
School of Science recognizes members with 2020 Infinite Kilometer Awards
Four members of the School of Science honored for contributions to the Institute.
Study may explain how infections reduce autism symptoms
An immune molecule sometimes produced during infection can influence the social behavior of mice.
Study probing visual memory and amblyopia unveils many-layered mystery
Scientists pinpoint the role of a receptor in vision degradation in amblyopia.
Supporting students in Puerto Rico after a hurricane’s devastation
Postdoc Héctor De Jesús-Cortés works to build up the STEM pipeline from his homeland to MIT and beyond.
Differences between deep neural networks and human perception
Stimuli that sound or look like gibberish to humans are indistinguishable from naturalistic stimuli to deep networks.
Fueled by the power of stories
A fascination with storytelling led K. Guadalupe Cruz to graduate studies in neuroscience and shapes her work to promote inclusivity at MIT.