πŸ“° Artificial intelligence before the mysteries of the Universe

What if a machine discovers new laws of nature that are still unknown to us? Not because this machine would be smarter than us. But because she could dig through the data much faster than us.

We have algorithms that can dive into mountains of personal data (Personal data is information that directly identifies or…) so as to associate personalities with extremely well-targeted advertisements. Why not algorithms that would dive into mountains of data (In information technology (IT), data is an elementary description, often…) on the cosmos to draw hidden tendencies?

The big difficulty, summarizes the New Scientistis that in theoretical physics (Theoretical physics is the branch of physics that studies the theoretical aspect of laws…)a “hidden trend” is called a equation (In mathematics, an equation is an equality that relates different quantities, usually…)and that it is not easy to teach this “language” to a artificial intelligence (Artificial intelligence or cognitive computing is the “finding of means…). Admittedly, in the 16th century (A century is now a period of a hundred years. The word comes from the Latin saeculum, i, which…), Johannes Kepler (Johannes Kepler (or Keppler), born December 27, 1571 in Weil der Stadt in…) was able to write his own mathematical equations on the movements of the planets, because he had immersed himself in the abundant data of astronomical observations of his time. But today the field (A field corresponds to a notion of defined space:) of analysis and amount (The quantity is a generic term of metrology (account, amount); a scalar,…) of data are infinitely larger, and continue to grow with each new observation (Observation is the action of attentive follow-up of phenomena, without the will to see them…) James-Webb or Gaia space telescopes. The more variables, the more number (The notion of number in linguistics is treated in the article “Number…) possible number of equations multiplies: even an artificial intelligence would not know where to start.

One of the tracks is to go there piece by piece: a few years ago, a team of the’University (A university is an institution of higher education whose objective is the…) Princeton “fed” an algorithm with the movements of the moons around (Autour is the name that the avian nomenclature in the French language (update) gives…) of Jupiter and Saturn, and expected that he “discovers” the laws of gravitation (Gravitation is the phenomenon of physical interaction that causes attraction…). Since then, other researchers have tried to pass (The genus Passer was created by the French zoologist Mathurin Jacques…) at the higher level: their algorithms succeeded in deducing the mass (The term mass is used to designate two quantities attached to one…) black holes from data on waves (A wave is the propagation of a disturbance producing a reversible variation in its path…) gravity, for example. Could an even “higher” target be the black matter (In astrophysics, dark matter (or dark matter), translation from English…), which permeates the cosmos but which we can neither see nor detect? If it should turn out that its distribution is linked to systems which are observable, we would have a key (In a literal sense, the key or key (both spellings are correct) is a removable device…) for an equation mathematical (Mathematics is a field of abstract knowledge constructed using…) that an artificial intelligence could deduce, even if we are talking about a phenomenon on a cosmic scale.

But even if we get there, there will remain a problem, which is summed up by the New Scientist: all these successes of the last years are “empirical equations. In other words, they are descriptive and adequate to reproduce experimental data”, but not to “offer a theoretical explanation”. Exactly as it was past (The past is first of all a concept linked to time: it is made up of the whole…) four centuries ago: Kepler discovered the laws of motion planetary (A planetary designates a mobile mechanical assembly, representing the solar system…)which means he could describe “how that walking (Walking (the pleonasm walking is also often used) is a…)“; but we would have to wait for Newton to understand the “why”, that is to say a law of gravity (Gravitation is one of the four fundamental interactions of physics.) which united all these celestial bodies.

Will an artificial intelligence make a day (The day or the day is the interval which separates the sunrise from the sunset; it is the…) until there ? Impossible to say, but theoretical physicists would like to be offered this hand (The hand is the prehensile effector organ located at…).

For further:
Thomas Lewton, “Will artificial intelligence ever discover new laws of physics?“, New Scientist21 November.

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πŸ“° Artificial intelligence before the mysteries of the Universe


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