AI-powered brain-computer interface lets paralyzed ALS patient speak and work full-time
TL;DR Summary
A UC Davis BrainGate study implanted a brain–computer interface in an ALS patient to decode brain signals into spoken language using BRAND, a machine-learning system. The patient, Casey Harrell, can control a computer and speak, enabling him to work full-time. In lab tests the system achieved 99% sentence accuracy; in daily life it’s 92%, with over 3,800 hours of use since 2023. The setup relies on existing hardware and home-care hookup, signaling a path toward practical, at-home BCI communication beyond the lab and toward broader commercialization.
- AI and brain-computer interface allow speechless ALS patient to work a full-time job The Register
- Long-term independent use of an intracortical brain–computer interface for speech and cursor control Nature
- Two years, 2 million words: How a brain implant transformed an ALS patient’s life The Washington Post
- Brain-computer interface enables independent, accurate communication for man living with ALS Medical Xpress
- This man with ALS is "the first power user" of a brain implant that lets him speak MIT Technology Review
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