Summary: Scientists have developed a groundbreaking brain-computer interface (BCI) that enables a paralyzed woman to communicate through a digital avatar, synthesizing speech and facial expressions directly from brain signals at a remarkable rate of nearly 80 words per minute, potentially restoring comprehensive communication for paralyzed individuals.
A breakthrough brain implant and digital avatar have enabled a stroke survivor, who has been unable to speak for 18 years, to communicate for the first time through facial expressions and synthesized speech decoded from her brain signals.
A woman who lost her ability to speak after a stroke has regained her voice through the use of artificial intelligence, with researchers implanting electrode implants into her brain to allow for natural communication.
Researchers at Stanford University have successfully used an intracortical brain-computer interface (iBCI) combined with artificial intelligence to help a paralyzed woman with amyotrophic lateral sclerosis (ALS) regain the ability to communicate by converting her brain signals into words on a computer screen, marking a significant advancement in restoring rapid communication for nonverbal individuals.
A stroke survivor who had been left paralyzed and unable to speak for nearly 20 years has regained her ability to communicate with the help of an AI-driven brain implant that decodes brain signals and converts them into computerized speech.
