The idea of going to the future is impossible with the technology we have now. Because scientific studies are not related to the behavior of “seeing the future”, which is mostly identified with fortune telling. When I read the title, ‘What’s wrong with guessing 1 second ahead?’ You can say, but believe me, it’s not like that. With this discovery made in the world of science, the door of a very important age is opened: predicting the future.
Researchers from Ohio State University have found a new way to predict the behavior of spatiotemporal chaotic systems using an artificial intelligence they developed and called ‘next generation reservoir computing’.
An algorithm that can work even on a Windows 10 laptop looks at complex problems in the past and tries to solve them in the future:
The researchers tested their new algorithm on a complex problem that had been studied many times in the past. This new algorithm, which is supposed to predict the behavior of an atmospheric weather model, used 400 to 1,250 times less training data compared to traditional machine learning algorithms that can solve the same problem.
Moreover, the algorithm achieved this at a much less cost. This algorithm, which does not require supercomputers like traditional machine learning algorithms, can be run even on a laptop with Windows 10 operating system and can predict the next 1 second 240,000 times faster than its competitors.
Okay, but what will this do for us?
In fact, the key thing here is not that the algorithm predicts the next 1 second, but that it can solve time-spatial chaotic systems very quickly. Because even human heart cells display chaotic spatiotemporal schemas that go from a normal heartbeat to an abnormally high frequency.
In other words, as a result of this research, it means that with artificial intelligence, a heart disease can be controlled in the future before it shows any symptoms. Here the heart cells are just one example, too many elements with spatiotemporal chaotic problems and schemes exist in the real world. The problem of any product, from weather forecasts, can be understood while it is still in production. In other words, it is possible to say that the studies carried out focus on solutions for technology and industry, not with the behavior of seeing the future integrated with fortune-telling.
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