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.
In some situations, asking “what if everyone did that?” is a common strategy for judging whether an action is right or wrong.
IAIFI will advance physics knowledge — from the smallest building blocks of nature to the largest structures in the universe — and galvanize AI research innovation.
New statistical model may help scientists understand how animals infer whether surroundings are novel or haven’t changed enough to be a new context.
Recent advances give theoretical insight into why deep learning networks are successful.
Professors earn tenure in the departments of Brain and Cognitive Sciences, Chemistry, Mathematics, and Physics.
Acoustic and biological constraints shape how we hear harmony across cultures.
Graduating seniors and recent alumni will spend upcoming year abroad on Fulbright grants.
Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.
Researchers discover that no magic is required to explain why deep networks generalize despite going against statistical intuition.
Researchers develop a more robust machine-vision architecture by studying how human vision responds to changing viewpoints of objects.
Stimuli that sound or look like gibberish to humans are indistinguishable from naturalistic stimuli to deep networks.
Objects are posed in varied positions and shot at odd angles to spur new AI techniques.
Model registers “surprise” when objects in a scene do something unexpected, which could be used to build smarter AI.
The ability to predict and make new materials faster highlights the need for safety, reliability, and accurate data.
Brain and cognitive sciences professor studies how the human mind is able to learn so rapidly.