AI-powered brain chips let paralyzed patients steer robot arm with thoughts

UCLA researchers developed a non-surgical brain-computer interface using AI to help paralyzed patients control robotic arms with their thoughts. The system combines an EEG cap and camera-based AI to interpret brain signals and user intent in real time. In testing, a paralyzed participant successfully completed a block-moving task with AI assistance. This technology could provide greater independence for people with paralysis or neurological conditions without invasive procedures.