Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.
A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack.
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.
A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing.
MIT is among nine universities selected as part of a program sponsored by the DoE to support science-based modeling and simulation and exascale computing technologies.
A faster way to estimate uncertainty in AI-assisted decision-making could lead to safer outcomes.
Advance could enable artificial intelligence on household appliances while enhancing data security and energy efficiency.
Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.
Several of the winning innovations apply artificial intelligence to solutions for challenges to national security.
Convened by the MIT Schwarzman College of Computing, the AI Policy Forum will develop frameworks and tools for governments and companies to implement concrete policies.