Australian researchers have made a breakthrough in AI technology, developing a system that can read minds. While the technology is not yet ready for commercial use, it shows promise in potentially helping stroke patients. The University of Technology Sydney (UTS) team’s study is currently in the spotlight at a prominent US conference. During the study, 29 participants wore a specialized cap that recorded their brain signals while reading. The signals were then translated into words and sentences using an artificial intelligence model called DeWave. Although the accuracy of the translation was initially around 40 percent, the team has since improved it to approximately 60 to 70 percent. UTS Professor Chin-Teng Lin, the leader of the research, believes that the technology could be ready for commercialization within the next two to three years, but stressed that further advancements are needed to achieve higher accuracy. The study’s limitations include the use of a cap instead of implanted electrodes, which affected the signal quality, and the restricted focus on participants reading set texts rather than freely thinking. Despite these challenges, the combination of neural decoding and large language models is seen as a significant advancement in the fields of neuroscience and AI. The development of this mind reading AI technology offers potential applications beyond its current scope, bringing us closer to a future where our thoughts can be understood and translated by machines.
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