Scientists in Australia have developed an artificial intelligence system, with the help of which a person thinks can be written. This is a artificial intelligence system that converts to men’s brainwell into text. Simply put, this technology has the ability to change the thoughts of humans into words.
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As doctors were searching for brain diseases using EEG, scientists in the University of Technology in Sydney have developed a nominal technology. Testing of this technology has been started. This unique AI model PHD student Charles (Jinzao) Zowu and his supervisor Chin-Teng Lin and Dr. Lyong is created. The signals obtained by EEG using Deep Learning can be converted into words. For example, Dr. Lyong wearing a 128-electrode EEG cap and without saying a single word, I just thought, I am joyful, just me. After that, it was seen that the result was presented in the words. Currently this model has been trained in limited words and sentences. (Photo courtesy – pintterest)
Like the neuralink of Alan Musk, this technology also gives a different direction by Dod Codes to the thought. But they usually include aggressive methods (that is, planting equipment in the brain). This technology discovered by scientists in Australia is completely non-innovative. According to the information given by Professor Lean, in non-invasive techniques, it is not possible to reach directly in the brain’s areas where the word decoding is done, so its accuracy is limited. But this method is safe and useful ..
This technology discovered by scientists is going to be the biggest benefit of patients who have a problem with stock disabled gas or those who have difficulty talking. This technology also plays an important role in autism easily connected speech therapy and rehabilitation. Not only in Australia but all over the world, scientific EEG and AI are working on many brain problems.
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Recently, scientists of Mass General Brigham have created a new AI Tool. Which can predict cognitive decline in the year by analyzing EEG Paraton during sleep. In this study, this device was able to identify 5% of the cases properly, whose total accuracy was 5%.
This smart cap has an advanced sensor and deep learning algorithm. When a person wears this hat, this technology recognizes the wave and transforms them into their words, usually when your brain thinks of a special pattern, they have an active pattern. This technology reaches those signals to the AI system. Which
