Researchers from the University of California used a brain-computer interface (BCI) driven by AI to turn Anne Johnson's brain signals into real-time speech since she went silent in 2005 after a stroke ...

This repository contains a machine learning pipeline for classifying motor movements (left fist, right fist, both feet) based on EEG (Electroencephalography) data. The project lays the groundwork for ...

This repository contains a machine learning pipeline for classifying motor movements (left fist, right fist, both feet) based on EEG (Electroencephalography) data. The project lays the groundwork for ...

The new method decodes brain signals while simultaneously feeding them through a text-to-speech AI model.

[Image courtesy of Synchron] Synchron today unveiled its roadmap to Chiral, a foundation model of human cognitions for its brain-computer interface (BCI) platform. New York-based Synchron wants to ...

The combination of artificial intelligence and neuroscience allows a paralyzed man to manipulate a robotic arm by using his ...

Brain computer interfaces (BCIs) are electrodes put in paralyzed people’s brains so they can use imagined movements to send ...

Paralyzed man controls a robotic arm using his thoughts for seven months without requiring recalibration using a ...

According to study co-lead author Cheol Jun Cho, who is also a UC Berkeley Ph.D. student in electrical engineering and ...

The company has partnered with Nvidia to develop “cognitive AI,” which it says will allow people with severe physical ...

Researchers have developed a brain-computer interface that can synthesize natural-sounding speech from brain activity in near ...