Marking a breakthrough in the field of brain-computer interfaces (BCIs), a team of researchers from UC Berkeley and UC San Francisco has unlocked a way to restore naturalistic speech for people with severe paralysis.

It’s still experimental, but the brain-computer interface could someday help give voice to those unable to speak.

Nearly two decades after suffering a brainstem stroke at the age of 30 that left her unable to speak, a woman in the US regained the ability to turn her thoughts into words in real time thanks to a new brain-computer interface (BCI) process.

A brain-computer interface can translate a stroke patient's brain activity into speech with minimal delay. However, the error rate is high.

A brain-reading implant that translates neural signals into audible speech has allowed a woman with paralysis to hear what she intends to say nearly instantly. Researchers enhanced the device — known as a brain–computer interface (BCI) — with artificial intelligence (AI) algorithms that decoded sentences as the woman thought of them,