Faculty members Angela Belcher, Pablo Jarillo-Herrero, and Ronitt Rubinfeld elected by peers for outstanding contributions to research.
3 Questions: How the MIT mini cheetah learns to run
CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation.
Q&A: Climate Grand Challenges finalists on building equity and fairness into climate solutions
Faculty leaders discuss the opportunities and obstacles in developing, scaling, and implementing their work rapidly.
Injecting fairness into machine-learning models
A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.
A security technique to fool would-be cyber attackers
Researchers demonstrate a method that safeguards a computer program’s secret information while enabling faster computation.
Editing tool makes fabrication process available to all.
Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.
Invisible machine-readable labels that identify and track objects
An MIT team develops 3D-printed tags to classify and store data on physical objects.
When should someone trust an AI assistant’s predictions?
Researchers have created a method to help workers collaborate with artificial intelligence systems.
Nonsense can make sense to machine-learning models
Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.