In two years, the MIT Quest for Intelligence has allowed hundreds of students to explore AI in its many applications.
EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.
A key finding: Early reopening last spring led to a dramatic drop in “quarantine strength” in southern and west-central U.S. states.
Adding a module that mimics part of the brain can prevent common errors made by computer vision models.
A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing.
What's SSUP? The Sample, Simulate, Update cognitive model developed by MIT researchers learns to use tools like humans do.
A faster way to estimate uncertainty in AI-assisted decision-making could lead to safer outcomes.
Study suggests mechanical properties of spike proteins can predict infectivity and lethality of different coronaviruses.
Recognition honors research into nuclear structure and reactions.