New AI System is Capable of Reading People’s Mind

New AI System is Capable of Reading People’s Mind

If you’re also one of those who aren’t too impressed with what Artificial Intelligence (AI) can do, well, welcome to the club! Although AI chatbots such as ChatGPT are highly-overrated, there are other impressive forms that AI can take. The one that makes the subject of this article will most probably blow your mind!

The human brain is the most complex structure in the Universe, without a doubt. Each and every second, numerous thoughts fly through our minds without us even willing for it to happen. Buddhist monks once compared the human brain to a drunk monkey, as it never takes any breaks. Let’s not forget that our brain constantly dictates how our internal organs work, even during our sleep.

So, how difficult it would be for humans to invent a machine capable of reading people’s minds? According to recent research, it seems that it’s not too hard as we might have thought.

A new AI system is capable of translating our brain activity into a stream of text

A new AI system called a semantic decoder is able to translate brain activity into a stream of text, according to CNBC. The technique is supposed to help out those patients who suffer from not being able to talk after they went through a stroke, some form of paralysis, or other similar conditions. The method is also noninvasive, or at least that’s what they’re telling us. Researchers at the University of Texas at Austin are those responsible for creating the AI system that has the potential to become revolutionary.

Alexander Huth, who is one of the leaders of the study, stated, as CNBC quotes:

For a noninvasive method, this is a real leap forward compared to what’s been done before, which is typically single words or short sentences,

We’re getting the model to decode continuous language for extended periods of time with complicated ideas.

Hopefully, the new AI system won’t be used in order to violate people’s privacy. However, let’s admit it: privacy is almost nonexistent nowadays.

The new study was published in Nature Neuroscience.

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