Robust artificial intelligence tools to predict future cancer
Researchers created a risk-assessment algorithm that shows consistent performance across datasets from US, Europe, and Asia.
“Liquid” machine-learning system adapts to changing conditions
The new type of neural network could aid decision making in autonomous driving and medical diagnosis.
Designing customized “brains” for robots
A new system devises hardware architectures to hasten robots’ response time.
An intro to the fast-paced world of artificial intelligence
In two years, the MIT Quest for Intelligence has allowed hundreds of students to explore AI in its many applications.
Making smart thermostats more efficient
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
Want cheaper nuclear energy? Turn the design process into a game
Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.
Method finds hidden warning signals in measurements collected over time
A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack.
Building machines that better understand human goals
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.
Shrinking massive neural networks used to model language
A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing.
Computer-aided creativity in robot design
MIT researchers’ new system optimizes the shape of robots for traversing various terrain types.
Center to advance predictive simulation research established at MIT Schwarzman College of Computing
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 neural network learns when it should not be trusted
A faster way to estimate uncertainty in AI-assisted decision-making could lead to safer outcomes.
System brings deep learning to “internet of things” devices
Advance could enable artificial intelligence on household appliances while enhancing data security and energy efficiency.
Algorithm reduces use of riskier antibiotics for UTIs
Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.
Autonomous boats could be your next ride
Five years in the making, MIT’s autonomous floating vessels get a size upgrade and learn a new way to communicate aboard the waters.