Daily AI News

Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.

Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.

With support from the Stone Foundation, the center will advance cutting-edge research and inform policy.

The CausVid generative AI tool uses a diffusion model to teach an autoregressive (frame-by-frame) system to rapidly produce stable, high-resolution videos.

A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.

Researchers found that vision-language models, widely used to analyze medical images, do not understand negation words like ‘no’ and ‘not.’ This could cause them to fail unexpectedly when asked to retrieve medical images that contain certain objects but not others.

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations — it’s a triumph of your associative memory, in which one piece of information (the first few notes) triggers the memory of the entire pattern (the song), without you actually having to hear the rest of the song again. We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality.

A new study outlines how artificial intelligence-powered handwriting analysis may serve as an early detection tool for dyslexia and dysgraphia among young children.

Scientists inspired by the octopus’s nervous system have developed a robot that can decide how to move or grip objects by sensing its environment.