A team of researchers led by Kim Hong Ji and Woo Choong-Wan at the Center for Neuroscience Imaging Research (CNIR) within the Institute for Basic Science (IBS), in collaboration with Emily FINN at ...

University of California, Davis researchers have developed a brain-computer interface (BCI) that enables computer cursor control and clicking, using neural signals from the speech motor cortex. One ...

BrainWhisperer is Tether’s Brain-to-text project. Tether is earmarking resources to build technologies that push the borders of intracranial electrocortical decoding. The latest result is a variable ...

Meta has announced the next version of its AI system for non-invasively decoding brain activity into text. Called Brain2Qwerty v2, the company hopes its latest method will help people with ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The computing interfaces of the not-too-distant future might move beyond ...

Imagine being able to translate thoughts into words without speaking or typing. Scientists are getting closer to making this a reality. A recent study published in the journal Communications Biology ...

Scientists at the University of California, San Francisco have developed a bilingual brain implant that uses artificial intelligence to help a stroke survivor communicate in Spanish and English for ...

Researchers from University of California San Diego have found a way to distinguish among hand gestures that people are making by examining only data from noninvasive brain imaging, without ...

A new machine learning algorithm developed by researchers from the USC Viterbi School of Engineering and NYU's Center for Neural Science can isolate brain signals and decode how neural dynamics in the ...

Machine-generated text reconstructed from brain activity is now accurate enough to approximate what a person heard, imagined or attempted to say. This is a capability that, offered as criminal ...