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A Ibraindecodercanreadapersonsthoughtswithjustaquickbrainscanandalmostnotraining

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  An improvement to an existing AI-based brain decoder can translate a person's thoughts into text without hours of training.

The article from MSN discusses a groundbreaking AI tool developed by researchers at the University of Texas at Austin, which can translate a person's thoughts into text with minimal training. This "semantic decoder" uses functional MRI (fMRI) scans to interpret brain activity, focusing on the brain's response to narratives rather than specific words. Unlike previous technologies that required invasive procedures or extensive training, this AI needs only 15 seconds of brain activity data to start decoding thoughts. The system was tested by having participants listen to stories or imagine telling stories, with the AI then generating corresponding text. While the translations are not verbatim, they capture the gist of the thoughts, opening up potential applications in communication for individuals who cannot physically speak, though it also raises significant privacy concerns.

Read the Full MSN Article at:
[ https://www.msn.com/en-us/technology/artificial-intelligence/ai-brain-decoder-can-read-a-person-s-thoughts-with-just-a-quick-brain-scan-and-almost-no-training/ar-AA1zeATo ]