Using brain activity alone, the decoder described the scene from the protagonist’s perspective as a text-based story. In other words, the decoder was able to translate visual information directly into ...

AUSTIN, Texas (KEYE) — The University of Texas Austin has createdasystemthat can turn brain activity into text. The new artificial intelligence tool could be a game-changer for some folks. Our ...

A new AI-based system called a semantic decoder can translate a person's brain activity -- while listening to a story or silently imagining telling a story -- into a continuous stream of text ...

Artificial Intelligence AI-powered brain decoder can turn thoughts into text, study finds AI system to translate a person's brain activity into continuous stream of text developed by University of ...

Researchers at the University of Texas at Austin have been using artificial intelligence in combination with fMRI scans to translate brain activity into continuous text. The results were published ...

Scientists are making significant strides forward in brain-computer interface (BCI) technology, and a newly developed system ...

Researchers from the University of Texas at Austin have created a mind-reading AI system that can take images of a person’s brain activity and translate them into a continuous stream of text ...

Researchers Use A.I. to Decode Words From Brain Scans A new tool translates “something deeper than language,” generating text that captures the gist of podcasts or silent films viewed by ...

Scientists decoded inner speech from brain signals, enabling password-activated BCIs for faster, easier communication.

The results are impressive: the AI model can decode up to 80 percent of characters typed by participants whose brain activity was recorded with MEG, which is at least twice as effective as ...

Scientists have pinpointed brain activity related to inner speech—the silent monologue in people’s heads—and successfully ...