The potential applications of AI, spanning civilian and military uses, are diverse, and include advances in areas like restorative and regenerative medical care, cyber resiliency, natural language processing, computer vision, and autonomous robotics.

The confluence of medicine and artificial intelligence stands to create truly high-performance, specialized care for patients, with enhanced precision diagnosis and personalized disease management.

MIT researchers have now designed a sharp-tipped robot finger equipped with tactile sensing to meet the challenge of identifying buried objects. In experiments, the aptly named Digger Finger was able to dig through granular media such as sand and rice, and it correctly sensed the shapes of submerged items it encountered.

A team from MIT has been working on a self-driving system that uses machine learning so that custom hand-tuning isn’t needed. Their new end-to-end framework can navigate autonomously using only raw 3D point cloud data and low-resolution GPS maps, similar to those available on smartphones today.

Robotic arm equipped with a hairbrush helps with brushing tasks and could be an asset in assistive-care settings. 

CSAIL joined the launch of a new research initiative aiming to apply advanced machine learning and robotics to listen to and translate the communication of sperm whales. 

Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.

A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.

By measuring a person’s movements and poses, smart clothes developed at MIT CSAIL could be used for athletic training, rehabilitation, or health-monitoring for elder-care facilities.