Artificial intelligence, a product of technology that has undergone significant development in recent years, plays a major role in the development of revolutionary projects around the world. In this context, one of the areas where it is most effective is undoubtedly the health sector.
Important developments in the field of health every day amaze people. Recently, a technology supported by artificial intelligence that can literally read the brain managed to create excitement.
Artificial intelligence-supported technology that can read the brain How is it working?
A team of researchers at the University of Technology Sydney, Australia, has managed to develop a technology that can convert brain signals into text. So how does this system work and what is the accuracy rate?
The artificial intelligence model DeWave is used for this technology. DeWave, EEG (Electroencephalography) records analyzes and transcribes brain signals It transforms. For those who don’t know, EEG is a method used to monitor the activity of brain waves using an electrical method.
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The tests were carried out by placing a helmet on the participants’ heads. Equipped with the necessary equipment for EEG, this helmet monitors brain wave activities. During this monitoring, DeWave, the artificial intelligence model we just mentioned, starts working and as a result, what passes through the brain based on the signals is transferred to the text.
The accuracy rate of the test conducted with many participants is 40 percent was measured as . Since this rate is low, you may think that it is a failed project. But when the artificial intelligence model examined different and newer data, this accuracy rate exceeded 60 percent.
This technology is very important for people who are paralyzed or unable to speak, that is, people who have difficulty communicating in general. As the project is further developed in the coming years, the accuracy rate will also increase.
So what do you think about this issue? How did you find the technology that can translate what passes through the brain into text? You can share your opinions with us in the Comments section below.