What are brain-computer interfaces? Brain-computer interfaces (BCIs) are devices that allow for the action or control of an external device from brain signals. These technologies have a broad range of ...
Brain-computer interfaces (BCIs) are emerging as a groundbreaking technology that has the potential to revolutionize the way humans interact with machines. By bridging the gap between human cognition ...
Whether it’s jacking into the Matrix or becoming a Na’avi in Avatar, connecting brains to computers is a science-fiction trope that I never thought I’d see become a reality. But increasingly, BCIs ...
Brain-computer interface technology has long belonged to the realm of science fiction, but it’s quickly emerging as a real-world innovation with the potential to transform how we live, work and ...
The company will use the funds to accelerate commercialization of its brain-signal AI technology and expand its cognitive health applications.
Since February this year, a quiet but significant breakthrough unfolded in several of Beijing’s top neurosurgical hospitals. Working ...
Casey Harrell, a man with the progressive muscle disease amyotrophic lateral sclerosis (ALS), reacts to using a brain-computer interface to 'speak' for the first time. The device interprets brain ...
According to researchers from the Chinese Academy of Sciences (CAS), the trial involved a patient with tetraplegia following ...
A new brain implant stands to transform human-computer interaction and expand treatment possibilities for neurological conditions such as epilepsy, spinal cord injury, ALS, stroke, and ...
Scientists working to enhance brain-computer interface (BCI) technology—which allows people to control devices with their thoughts—have found they can improve the performance of electrodes implanted ...
Forbes contributors publish independent expert analyses and insights. Global Thought Leader in Cybersecurity and Emerging Tech Examining the mesh between humans and machines provides insight into the ...
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 ...