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.

MIT spinout DataCebo helps companies bolster their datasets by creating synthetic data that mimic the real thing.

By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.

The printed solenoids could enable electronics that cost less and are easier to manufacture — on Earth or in space.

An MIT team precisely controlled an ultrathin magnet at room temperature, which could enable faster, more efficient processors and computer memories.

An easy-to-use technique could assist everyone from economists to sports analysts.

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.