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AI-Powered Brain-Computer Interfaces: How UCLA’s Breakthrough Could Transform Accessibility

UCLA engineers have developed a wearable, noninvasive BCI that uses AI as a co-pilot, opening new possibilities for people with paralysis and beyond

Faisal Khan's avatar
Faisal Khan
Sep 03, 2025
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A futuristic laboratory setting with a person wearing a sleek, noninvasive brain-computer interface headset. The headset has soft, modern sensors gently placed on the scalp, connected wirelessly. In front of the user, a robotic arm is delicately picking up a cup, guided by the headset. On a nearby screen, an AI interface is shown interpreting brain signals into digital commands, with glowing neural patterns and data streams. The atmosphere is bright, advanced, and hopeful, symbolizing accessibility and innovation. Ultra-realistic, cinematic lighting, professional scientific illustration style.
Image Credit: Microsoft Copilot

For decades, the idea of controlling machines with our thoughts has lived at the intersection of science fiction and scientific pursuit. Recent breakthroughs at the University of California, Los Angeles (UCLA) suggest that this boundary is rapidly dissolving. A team of engineers has developed a wearable, noninvasive brain-computer interface (BCI) that uses artificial intelligence not merely as a tool, but as a co-pilot—helping to infer user intent and complete tasks such as moving a robotic arm or directing a computer cursor.

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