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Sydney team develop AI model to identify thoughts from brainwaves

  Copy link into your clipboard //science-technology.news-articles.net/content/2 .. -model-to-identify-thoughts-from-brainwaves.html
  Print publication without navigation Published in Science and Technology on by rnz
          🞛 This publication is a summary or evaluation of another publication 🞛 This publication contains editorial commentary or bias from the source
  What if you could operate your phone just by thinking about it?

A team from the University of Technology Sydney has developed an AI model that can identify thoughts and translate them into text by analyzing brainwaves captured through an EEG cap. The model, which was trained on data from participants listening to podcasts, achieved an accuracy rate of 40% in translating thoughts into text, significantly higher than the previously reported 10% accuracy. This breakthrough could potentially assist individuals who are unable to communicate verbally, such as those with locked-in syndrome, by providing a new method for them to express their thoughts. The research, published in the Journal of Neural Engineering, marks a significant step forward in the field of brain-computer interfaces.

Read the Full rnz Article at:
[ https://www.rnz.co.nz/news/world/564253/sydney-team-develop-ai-model-to-identify-thoughts-from-brainwaves ]