AI-Driven Brain-Computer Interfaces Empower Paralyzed Individuals to Control Robotic Devices
TL;DR Summary
A study demonstrates that combining AI with non-invasive brain devices significantly enhances their performance, enabling a paralysed man to control a robotic arm with 93% success in a task, and improving task completion speed for others, thereby potentially improving quality of life.
- AI-powered brain device allows paralysed man to control robotic arm Nature
- Brain–computer interface control with artificial intelligence copilots Nature
- Scientists Develop Non-Invasive AI-BCI ForkLog
- UCLA researchers enable paralyzed patients to control robotic arms using AI brain signals - CHOSUNBIZ Chosun Biz
- AI could help brain-computer interfaces assist people with paralysis Scimex
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