Jamie Brannigan shares the importance of listening to patients and the care community when facilitating research and shaping ...

Anew brain-computer interface (BCI) developed at UC Davis Health translates brain signals into speech with up to 97 percent accuracy — the most accurate system of its kind. The researchers implanted ...

Brain-computer interfaces are a groundbreaking technology that can help paralyzed people regain functions they’ve lost, like moving a hand. These devices record signals from the brain and decipher the ...

Once conceptual ideas of being able to control smart home devices with just your thoughts is no longer contained to movies and our imagination, as a neurotechnology company has demonstrated what it ...

On this episode of Uncanny Valley, we dive into the heated race between two companies to build a commercial brain-computer interface. Brain-computer interfaces might have inspired works of science ...

A recent breakthrough may disrupt the brain-computer interface (BCI), neurotechnology, spatial computing, and mixed/virtual reality industries. Last week, the BCI company Synchron showcased the ...

Since then, scientists have designed and developed brain-computer interface devices that have enabled people with quadriplegia to control a computer cursor, a robotic arm, and even move their own limb ...

Loss of communication can be among the most devastating symptoms for patients with paralysis. A new study by investigators from Mass General Brigham Neuroscience Institute and Brown University ...

Forbes contributors publish independent expert analyses and insights. A former tech executive covering AI and XR for Forbes. At CES 2026, LumiMind presented its brand new closed-loop EEG sleep ...

Brain-computer interfaces are typically unwieldy, which makes using them on the move a non-starter. A new neural interface small enough to be attached between the user’s hair follicles keeps working ...

A new brain-computer interface (BCI) developed at UC Davis Health translates brain signals into speech with up to 97% accuracy—the most accurate system of its kind. The researchers implanted sensors ...