Revolutionary AI Brain Implants Enable Unprecedented Communication for Paralyzed Patients

Two women with paralysis caused by ALS and stroke have regained the ability to communicate through brain implants that decode their intended speech at a rate of 62 and 78 words per minute, respectively. The brain-computer interface (BCI) technology, developed by separate teams at Stanford University and UC San Francisco, uses artificial neural networks to translate neural activity associated with facial movements into words displayed on a screen. While slower than natural conversation, this advancement brings us closer to restoring real-time speech for paralyzed individuals and opens possibilities for future applications of BCIs in everyday life.