“Liquid” machine-learning system adapts to changing conditions
The new type of neural network could aid decision making in autonomous driving and medical diagnosis.
The new type of neural network could aid decision making in autonomous driving and medical diagnosis.
A new system devises hardware architectures to hasten robots’ response time.
In two years, the MIT Quest for Intelligence has allowed hundreds of students to explore AI in its many applications.
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
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 researchers’ new system optimizes the shape of robots for traversing various terrain types.
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.
Five years in the making, MIT’s autonomous floating vessels get a size upgrade and learn a new way to communicate aboard the waters.
System developed at MIT CSAIL aims to help linguists decipher languages that have been lost to history.