MIT researchers developed a fiber computer and networked several of them into a garment that learns to identify physical activities.

A new design tool uses UV and RGB lights to change the color and textures of everyday objects. The system could enable surfaces to display dynamic patterns, such as health data and fashion designs.

By snugly wrapping around neurons, these devices could help scientists probe subcellular regions of the brain, and might even help restore some brain function.

“MouthIO” is an in-mouth device that users can digitally design and 3D print with integrated sensors and actuators to capture health data and interact with a computer or phone.

The newly synthesized material could be the basis for wearable thermoelectric and spintronic devices.

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.

The sticky, wearable sensor could help identify early signs of acute liver failure.

Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.

The low-cost FibeRobo, which is compatible with existing textile manufacturing techniques, could be used in adaptive performance wear or compression garments.

StructCode, developed by MIT CSAIL researchers, encodes machine-readable data in laser-cut objects by modifying their fabrication features.