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.
Professor Antonio Torralba elected 2021 AAAI Fellow
EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.
Making smart thermostats more efficient
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
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.
Model could help determine quarantine measures needed to reduce Covid-19’s spread
A key finding: Early reopening last spring led to a dramatic drop in “quarantine strength” in southern and west-central U.S. states.
Neuroscientists find a way to make object-recognition models perform better
Adding a module that mimics part of the brain can prevent common errors made by computer vision models.
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.
Slowing the spread of Covid-19
As cases increased worldwide this spring, mechanical engineers developed solutions to help slow and stop the spread of the coronavirus.
How humans use objects in novel ways to solve problems
What's SSUP? The Sample, Simulate, Update cognitive model developed by MIT researchers learns to use tools like humans do.
An antidote to “fast fashion”
The clothing rental service Armoire helps customers sustainably maintain a fresh wardrobe.
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.
Vibrations of coronavirus proteins may play a role in infection
Study suggests mechanical properties of spike proteins can predict infectivity and lethality of different coronaviruses.