Brain–machine interfaces (BMIs) represent a transformative field at the intersection of neuroscience, engineering and computer science, allowing for direct communication between the brain and external ...

Professor Ngai Wong and Dr Zhengwu Liu from the Department of Electrical and Electronic Engineering at the Faculty of Engineering at the University of Hong Kong (HKU), in collaboration with research ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Scientists at Stanford University have taken a major step toward helping people “speak” without moving a muscle—by decoding the silent voice inside the mind. In a study published in the journal ...

Stanford University scientists have successfully decoded inner speech, or the silent thoughts in a person’s head, with an accuracy rate of up to 74%. This advancement could advance how people with ...

Thorsten O. Zander is the Founder & Chief Scientist at Zander Labs, a deep tech company at the forefront of pBCI and neuroadaptive tech. Recent headlines predict a future of mind-reading machines, but ...

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 ...

Forbes contributors publish independent expert analyses and insights. I write about the big picture of artificial intelligence. It is not possible to understand the long-term future of artificial ...

When someone loses the ability to speak because of a neurological condition like ALS, the impact goes far beyond words. It touches every part of daily life, from sharing a joke with family to simply ...