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Search resuls for: "Jerry Tang"


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☆ How the technology behind ChatGPT could make mind-reading a reality
  + stars: | 2023-05-23 | by ( Donie O'Sullivan | ) edition.cnn.com   time to read: +6 min
Neuroscientists at the University of Texas in Austin have figured out a way to translate scans of brain activity into words using the very same artificial intelligence technology that powers the groundbreaking chatbot ChatGPT. Before entering the fMRI machine, CNN correspondent Donie O'Sullivan was given specialized earphones to listen to an audiobook during his brain scan. While the technology is still in its infancy and shows great promise, the limitations might be a source of relief to some. While the technology at the moment only works in very limited cases, that might not always be the case. “Technology can improve and that could change how well we can decode and change whether decoders require a person’s cooperation.”
Persons: ”, It’s, ” Alexander Huth, ” Huth, Huth, Dorothy, Donie O'Sullivan, CNN Huth, can’t, Jerry Tang, ” Tang, “, Sam Altman, Altman, Tang Organizations: CNN, University of Texas, UT Austin Locations: Austin , Texas, Austin, San Francisco, Texas
☆ Scientists say they made a mind-reading AI that can turn brain scans into a readout of your thoughts
  + stars: | 2023-05-02 | by ( Marianne Guenot | ) www.businessinsider.com   time to read: +6 min
Scientists say they trained AI to recreate a story from a brain scan. The AI was able to read their brainwaves and recreate the story accurately, per a study. The AI was able to accurately predict what the story was about by reading only the participant's brainwaves, per the study. The story doesn't come out exactly like it was told An annotated diagram shows how the AI can read brainwaves and generate a story. The technique can't break into private thoughtsScientists used this brain scanner to collect brainwaves to feed to the AI.
☆ Scientists develop A.I. system focused on turning peoples' thoughts into text
  + stars: | 2023-05-01 | by ( Ashley Capoot | ) www.cnbc.com   time to read: +3 min
The researchers trained their semantic decoder on dozens of hours of brain activity data from participants, collected in an fMRI scanner. Scientists have developed a noninvasive AI system focused on translating a person's brain activity into a stream of text, according to a peer-reviewed study published Monday in the journal Nature Neuroscience . PH.D. STUDENT JERRY TANG PREPARES TO COLLECT BRAIN ACTIVITY DATA IN THE BIOMEDICAL IMAGING CENTER AT THE UNIVERSITY OF TEXAS AT AUSTIN. Once the AI system is trained, it can generate a stream of text when the participant is listening to or imagines telling a new story. According to a news release, the trained system produces text that closely or precisely matches the intended meaning of the participant's original words around half of the time.
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