Tag: Neural Interfaces

Brain-computer interfaces without the mess

It sounds like science fiction: controlling electronic devices with brain waves. But researchers have developed a new type of electroencephalogram (EEG) electrode that can do just that, without the sticky gel required for conventional electrodes. Even better, the devices work through a full head of hair. The researchers report the flexible electrodes, which could someday

Artificial intelligence tool vastly scales up Alzheimer’s research: Machine learning tool automates pathologists’ work to identify disease markers

Researchers at UC Davis and UC San Francisco have found a way to teach a computer to precisely detect one of the hallmarks of Alzheimer’s disease in human brain tissue, delivering a proof of concept for a machine-learning approach to distinguishing critical markers of the disease. Amyloid plaques are clumps of protein fragments in the

Hidden control architecture of brain networks unveiled

A KAIST research team identified the intrinsic control architecture of brain networks. The control properties will contribute to providing a fundamental basis for the exogenous control of brain networks and, therefore, has broad implications in cognitive and clinical neuroscience. Although efficiency and robustness are often regarded as having a trade-off relationship, the human brain usually

Could machines using artificial intelligence make doctors obsolete?

Artificial intelligence systems simulate human intelligence by learning, reasoning, and self correction. This technology has the potential to be more accurate than doctors at making diagnoses and performing surgical interventions, says Jörg Goldhahn, MD, MAS, deputy head of the Institute for Translational Medicine at ETH Zurich, Switzerland. It has a “near unlimited capacity” for data

AI beats doctors at predicting heart disease deaths

A model developed using artificial intelligence (AI) is better at predicting risk of death in patients with heart disease than models designed by medical experts, a new study from the Francis Crick Institute shows. The study, published in PLOS One, adds to the growing evidence that AI could revolutionise healthcare in the UK and beyond.

Controlling robots with brainwaves and hand gestures: System enables people to correct robot mistakes on multi-choice problems

Getting robots to do things isn’t easy: usually scientists have to either explicitly program them or get them to understand how humans communicate via language. But what if we could control robots more intuitively, using just hand gestures and brainwaves? A new system spearheaded by researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL)