Artificial intelligence is an amazing field that holds tremendous potential. Nowadays, people are showing a lot of interest in AI, particularly in chatbots such as ChatGPT and new technologies like Bing and Google’s Bard. Although we’ve been using AI in various forms for a while now, the current technology is making it more accessible and fascinating. We might just be on the verge of a new technological revolution!
It’s amazing how things that seemed impossible just a few months ago are now becoming a reality. One of these things is the ability to translate human thoughts into written text using technology. According to recent reports, a team of scientists from the University of Texas at Austin has achieved this breakthrough. The study was led by computer science doctoral student Jerry Tang and assistant professor of neuroscience and computer science Alex Huth, and it’s a significant achievement in the world of AI.
The researchers used a functional magnetic resonance imaging (fMRI) machine to monitor the brain activity of three human subjects for 16 hours as they listened to stories. They were able to identify which neural stimuli were associated with specific words. Next, they used a custom-trained AI model similar to ChatGPT to translate this brain activity into written text. However, it’s important to note that the AI could only capture the general idea of what the participants were thinking, and not the exact thoughts.
According to the scientists, their results showed an accuracy rate of up to 82%. The AI model was able to accurately decode perceived speech between 72-82% of the time. When it came to decoding imagined speech, the accuracy ranged from 41-74%. However, when it came to interpreting silent movies, the accuracy was only between 21-45%.
The results were published in the Nature Neuroscience journal. What’s most fascinating is that this was done without the help of any brain implants.
Huth stated in a report published on the UT Texas website that “compared to previous methods, which typically involve decoding single words or short sentences, this noninvasive approach is a significant breakthrough. Our model can decode continuous language for extended periods of time, including complex ideas.”
Concerns Arising Regarding the Development
Scientists at the University of Texas have made a new technology that could help people who can’t talk or communicate physically. But this technology is still being developed, and it will need more work before it can be used to help people in hospitals or clinics.
The scientists involved in the brain-computer interface technology have stated that their decoder can only work with the willing participation of human subjects. They also emphasized the importance of protecting the privacy of individuals’ thoughts during the development of such technologies.
The scientists who developed the tech have raised concerns about its misuse. They cautioned that the technology could be used for harmful purposes, like government or employer spying, and that it’s important to protect people’s privacy. They have also mentioned that the technology needs the voluntary cooperation of human subjects to work and that it’s important to respect their mental privacy when creating brain-computer interfaces.
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