MIT AI News
AI learns how vision and sound are connected, with...
This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.
The sweet taste of a new idea
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
With AI, researchers predict the location of virtu...
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
Study shows vision-language models can’t handle qu...
Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.
MIT Department of Economics to launch James M. and...
With support from the Stone Foundation, the center will advance cutting-edge research and inform policy.
Hybrid AI model crafts smooth, high-quality videos...
The CausVid generative AI tool uses a diffusion model to teach an autoregressive (frame-by-frame) system to rapidly produce stable, high-resolution videos.
Q&A: A roadmap for revolutionizing health care thr...
A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.
New tool evaluates progress in reinforcement learn...
“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
Novel AI model inspired by neural dynamics from th...
New type of “state-space model” leverages principles of harmonic oscillators.
Making AI models more trustworthy for high-stakes ...
A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.