Giving robots social skills
A new machine-learning system helps robots understand and perform certain social interactions.
Center for Brains Minds and Machines
Artificial intelligence sheds light on how the brain processes language
Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.
Artificial networks learn to smell like the brain
When asked to classify odors, artificial neural networks adopt a structure that closely resembles that of the brain’s olfactory circuitry.
How the brain navigates cities
We seem to be wired to calculate not the shortest path but the “pointiest” one, facing us toward our destination as much as possible.
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.
Professor Antonio Torralba elected 2021 AAAI Fellow
EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.
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.
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.
Neural pathway crucial to successful rapid object recognition in primates
Recurrent processing via prefrontal cortex, necessary for quick visual object processing in primates, provides a key insight for developing brain-like artificial intelligence.
How we make moral decisions
In some situations, asking “what if everyone did that?” is a common strategy for judging whether an action is right or wrong.
National Science Foundation announces MIT-led Institute for Artificial Intelligence and Fundamental Interactions
IAIFI will advance physics knowledge — from the smallest building blocks of nature to the largest structures in the universe — and galvanize AI research innovation.
Study suggests animals think probabilistically to distinguish contexts
New statistical model may help scientists understand how animals infer whether surroundings are novel or haven’t changed enough to be a new context.
Looking into the black box
Recent advances give theoretical insight into why deep learning networks are successful.
Nine MIT School of Science professors receive tenure for 2020
Professors earn tenure in the departments of Brain and Cognitive Sciences, Chemistry, Mathematics, and Physics.
Universal musical harmony
Acoustic and biological constraints shape how we hear harmony across cultures.