Revolutionary AI transforms brain signals into speech
UC Davis researchers have helped a paralyzed ALS patient talk again using a brain-computer interface (BCI).
By picking up brain signals when the patient tries to speak, the device turns thoughts into spoken words—with up to 97% accuracy.
Real-time speech translation
The BCI uses AI to translate brain activity into real-time speech, even recreating the person's own voice from old recordings.
Unlike slow text-to-speech devices, this system lets users chat naturally and jump into conversations without lag.
More awards for the groundbreaking technology
This tech doesn't just bring back words—it captures tone and emotion, so users can ask questions or even sing.
In tests, a man with severe speech loss could finally talk with his family again.
The innovation has already won The Herbert Pardes Clinical Research Excellence Award and a 2025 Top Ten Clinical Research Achievement Award and is being refined to become more affordable and portable for everyday life.