Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.

MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.

MIT CSAIL researchers are using ideas from game theory to improve the reliability of language generation in language models.

Screen-reader users can upload a dataset and create customized data representations that combine visualization, textual description, and sonification.

Researchers demonstrate a technique that can be used to probe a model to see what it knows about new subjects.

With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.

Single-cell gene expression patterns in the brain, and evidence from follow-up experiments, reveal many shared cellular and molecular similarities that could be targeted for potential treatment.

Novel method makes tools like Stable Diffusion and DALL-E-3 faster by simplifying the image-generating process to a single step while maintaining or enhancing image quality.

FeatUp, developed by MIT CSAIL researchers, boosts the resolution of any deep network or visual foundation for computer vision systems.

A new algorithm reduces travel time by identifying shortcuts a robot could take on the way to its destination.