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.
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.
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.
Many health issues are tied to excess fluid in the lungs. A new algorithm can detect the severity by looking at a single X-ray.
Working remotely this summer, students worked to better understand human intelligence and to advance machine learning applications.
The rocky world, with its baking-hot surface, is likely not habitable.
The company Health at Scale uses machine learning to improve outcomes for individual patients.
New faculty in these areas will connect the MIT Schwarzman College of Computing and a department or school.
Researchers train a model to reach human-level performance at recognizing abstract concepts in video.
An artificial intelligence tool lets users edit generative adversarial network models with simple copy-and-paste commands.
Storage tool developed at MIT CSAIL adapts to what its datasets’ users want to search.