UNITED STATES: In a groundbreaking study, scientists successfully used Artificial Intelligence to analyse human brain waves and translate them into text. This has the potential to revolutionise communication for people who are unable to speak due to conditions such as stroke or paralysis.
Three participants were invited to listen to stories as part of the study, which was run by Jerry Tang, a doctorate student in computer science, and Alex Huth, an assistant professor of neuroscience as well as computer science at UT Austin.
They were then assigned to MRI machines, where their brain activity was monitored and translated into text using Artificial Intelligence models powered by Open AI’s ChatGPT and Google’s Bard.
The findings, which were published in the journal Nature Neuroscience, show that non-intrusive linguistic brain-computer interfaces are feasible.
According to the study, these technologies “may be especially beneficial to people who are physically unable to speak and enable them to communicate more effectively.”
The semantic decoder used in the study is currently limited to providing the basic “gist” of what someone is thinking. The Artificial Intelligence decoder generated a text that closely aligned with the subject’s thoughts only about half the time.
However, the researchers see this as a significant leap forward compared to previous methods, which were typically limited to single words or short sentences.
The study also raises concerns about privacy and the potential misuse of this technology. The researchers have taken these concerns seriously and have worked to ensure that the technology is used ethically and responsibly.
“We want to make sure people only use these types of technologies when they want to and that they help them,” said Tang.
Overall, this study represents a significant advancement in developing brain-computer interfaces. As Artificial Intelligence progresses, we will likely see more applications of this technology in various areas of our lives. However, we must approach these developments cautiously and ensure they are used responsibly and ethically.
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