Tether Evo has three new peer-reviewed papers on Brain-Computer Interfaces (BCIs) accepted for publication at the Journal of ...

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 ...

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 ...

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 released Brain2Qwerty v2, an AI system that decodes brain activity into typed sentences using external MEG sensors instead of surgical implants, reaching 61% word accuracy.

Neural Decoding of Imagined Pitch: Invasive brain signals carry sufficient spectral and temporal information to decode ...

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 ...

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 ...

Neurologists often use EEGs to help diagnose epilepsy, but routine recordings offer only about a 20-minute snapshot of brain activity. Without a seizure captured during that window, clinicians must ...

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 ...