Could the similar technology that is utilized to unlock people’s cellphones also assist unlock the unknown of the universe? It may sound controversial, but that is exactly what experimenters from Switzerland’s science and technology-focused institute ETH Zurich are laboring to attain.
Using aa deviation of the type of artificial intelligence neural web behind today’s face recognition technology, they have formulated new A.I. tools that could verify a game-changer in the findings of so-called dark matter.
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Physicists speculate that understanding this bizarre substance is crucial to explain fundamental problems about the basic structure of the galaxy.
The algorithm they utilize is very near to what is commonly utilized in facial recognition as said by Janis Fluri who is a Ph.D. student and who labors in an ETH Zurich lab focused on pertaining neural networks to cosmological difficulties told Digital Trends that the beauty of A.I. is that it can memorize from basically any data.
In face recognition, it memorizes to recognize sights, mouths, and noses, while we are glancing for structures that provide us with clues about dark matter.
This structure recognition is practically the core of the algorithm. Eventually, we only revised it to infer the basic cosmological parameters.
But what really is it that the researchers are gazing for? Right now, it is not entirely comprehended. But as United States Supreme Court Justice Potter Stewart memorably noted about obscenity that he knew it when he saw it.
Or rather we would not — because it cannot be discerned. But scientists will know it once they have found it. Welcome to the strange world of dark matter.
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The presence of dark matter in some shape has been hypothesized for good over a century. It is thought to come down to for around 27% of the universe, surpassing visible matter by a probability of approximately six to one.