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 ...

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 ...

Brain-computer interface experiments began more than 20 years ago Technology decodes brain signals that control speech and movement Elon Musk's Neuralink is a major player in field, along with ...

Scientists have developed a device that can translate thoughts about speech into spoken words in real time. Although it’s still experimental, they hope the brain-computer interface could someday help ...

As an innovative subtype of invasive brain-computer interfaces (BCIs), the Endovascular Brain-Computer Interface (EBCI) enables electrode delivery to target brain regions via endovascular intervention ...

Yale University, Dartmouth College, and the University of Cambridge researchers have developed MindLLM, a subject-agnostic model for decoding functional magnetic resonance imaging (fMRI) signals into ...

Brain-Computer Interfaces (BCIs) are cutting-edge assistive technology that offer hope to people with disabilities who have lost the ability to speak or move due to various causes such as ...