MIT researchers introduce a method that uses artificial intelligence to automate the explanation of complex neural networks.

A new study finds that language regions in the left hemisphere light up when reading uncommon sentences, while straightforward sentences elicit little response.

Master's students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.

MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.

These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections.

This new method draws on 200-year-old geometric foundations to give artists control over the appearance of animated characters.

“Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.

Using generative AI, MIT chemists created a model that can predict the structures formed when a chemical reaction reaches its point of no return.

Study shows computational models trained to perform auditory tasks display an internal organization similar to that of the human auditory cortex.

A new method enables optical devices that more closely match their design specifications, boosting accuracy and efficiency.