Artificial Intelligence (AI) at the University of Texas recently made a breakthrough by scanning the brain with a compiler, successfully translating human brain activity into text. By analyzing MRI images, the compiler can accurately reconstruct what a person is going to tell and stories.
The concept of mind-reading has long been controversial, but researchers hope that this surprisingly precise innovation can soon be put to use to help patients with communication difficulties, such as those who have had strokes and damaged motor neurons.
MRI scans have been traditionally used to diagnose brain damage and other diseases for many years. Interpreting scans and turning them into useful information is a big leap forward for patients with brain damage who have communication problems.
While this technology can scan the overall details of the brain, there are fundamental limitations to scanning and interpreting brain activity in a timely manner. Because during the use of this technology, blood flows through the brain to trigger the activity of neurons.
By using a large number of language modules, artificial intelligence (AI) can translate neuronal activity into concepts and meanings conveyed by language, which means that scientists can convert neuronal activity into words and sentences. For example, when you hear the words "I don't have a driver's license yet," artificial intelligence (AI) translates to "She hasn't planned to learn to drive yet." ”
Frighteningly, AI can also gain insight into our most primitive emotions and internal mental activity, and when dealing with irrelevant speech, AI will be visibly critical and show impatience.
Our brains work through the combined operation of neurons and concepts. In a study of the human brain, it was found that when asked about an image of a U.S. president, his name, or his speech, an area of our brain lights up every time, indicating that each domain has a dedicated neural pathway to respond to and confirm it.
Our brain is a network of tens of millions of electrical synapses, neurons that MRI can scan, recording the food you like, the TV show you watched last night, the exams you went through more than a decade ago, and any other events you actually experience in your life.
Now, the difficulty with the continuous semantic reconstruction obtained by non-invasive brain scans is the inability to distinguish between pronouns, such as him and she, and plurals. This may have something to do with the conceptualization of how the brain works, but it may also be that the AI interpreter has not yet been able to determine the subtleties of brain waves to distinguish these things.
With the successful development of this technology, future paralyzed patients or stroke patients can communicate with people who care about them without speech, writing or other signals. Quantifying continuous streams of consciousness and extracting information from them is a huge leap forward in the development of artificial intelligence. In the coming years, as AI brainwave interpreters become more advanced and gain mainstream acceptance, managers will have to turn a blind eye to whether the technology will be abused for nefarious purposes.