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The efficacy of the AI brain-decoding technology is also highly interesting, as the framework the team created showed that seen and imagined images were much more accurate compared to previous methods and chance accuracy. The study revealed that the new framework could identify seen images at 90.7% accuracy compared to the 64.3% accuracy of previous methods and the chance accuracy of 50%. As this AI continues to train, this percentage could continue to go even higher in the future.
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