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.

By enabling models to see the world more like humans do, the work could help improve driver safety and shed light on human behavior.

Faster and more accurate than some alternatives, this approach could be useful for robots that interact with humans or work in tight spaces.

Adaptive smart glove from MIT CSAIL researchers can send tactile feedback to teach users new skills, guide robots with more precise manipulation, and help train surgeons and pilots.

Innovative AI system from MIT CSAIL melds simulations and physical testing to forge materials with newfound durability and flexibility for diverse engineering uses.