Tech & Science: The first AI capable of simulating the universe works so well it’s scary - PressFrom - United Kingdom

Tech & ScienceThe first AI capable of simulating the universe works so well it’s scary

05:35  27 june  2019
05:35  27 june  2019 Source:

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The simulation hypothesis or simulation theory proposes that all of reality, including the Earth and the universe , is in fact an artificial simulation , most likely a computer simulation .

It ’ s widely accepted that the Simulation Argument as described above is pretty water-tight. It ' s just taking an honest look at a few options we have to consider when it comes to the idea of simulated realities. He has worked as a social media manager and consultant for over five years, while giving

The first AI capable of simulating the universe works so well it’s scary © Provided by The Next Web

A team of researchers recently pioneered the world’s first AI universe simulator. It’s fast; it’s accurate; and its creators are baffled by its ability to understand things about the cosmos that it shouldn’t.

Scientists have used computer simulations to try and digitally reverse-engineer the origin and evolution of our universe for decades. The best traditional methods using modern technology take minutes and produce okay results. The world’s first AI universe simulator on the other hand, produces results with far greater accuracy in just milliseconds.

According to the team’s paper:

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As Terrile puts it : “If in the future there are more digital people living in simulated environments than there “In order to make the argument in the first place, we “Suppose someone is simulating our universe – it would be very tempting to cut corners in ways that makes the simulation cheaper to run.

universe and colonize it . However, we do not observe any sign, signal or artifact of alien civilisations Well that’ s all fine, but what does our technological progress tell us about our universe ? In any case, if we are so humble to believe that we are neither the first nor the only intelligent life in the Given the sheer amount of simulated universes compared to civilisations simulating them, the overwhelming

Here, we build a deep neural network to predict structure formation of the Universe. It outperforms the traditional fast-analytical approximation and accurately extrapolates far beyond its training data.

This is a fancy way of saying that it not only does what its developers built it to do – simulate the evolution of the universe under different gravitational conditions – it produces accurate results for variables it wasn’t trained on. For example, one particular parameter the simulation reported on that surprised the scientists was the amount of dark matter in the universe.

The team didn’t train the system, called Deep Density Displacement Model (D3M), on data with varying amounts of dark matter, yet the AI inexplicably (and, according to the research, accurately) changed those values based on inferences from the ones it was trained on.

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It ’ s hard to come up with a way to tell for sure whether we’re simulated beings living in a simulated universe . The law (actually an observation first made by Intel co-founder Gordon Moore back in the 1960s) has been consistently accurate for decades.

So it runs ai -based games of Civilization fine, but not PUBG? I was hoping they could run PUBG at a smooth 60FPS, but apparently this simple deathmatch game requires a better graphics card than the one we have simulating every individual member of an entire species down to their very atoms.”

As Shirley Ho, a coauthor on the team’s researcher paper told Phys.Org:

It’s like teaching image recognition software with lots of pictures of cats and dogs, but then it’s able to recognize elephants. Nobody knows how it does this, and it’s a great mystery to be solved.

The simulator itself, aside from further demonstrating the Mercurial and unpredictable nature of black box AI and deep learning, has the potential to help astrophysicists and researchers fill in some of the blanks in our comsos’ backstory.

Our universe is a strange and mostly unknown place. Humanity is just beginning to set our sights beyond observable space to determine what’s out there and how it all ended up the way it is. Artificial intelligence can help us make sense of exactly how the billions upon billions of variables affecting the evolution of our universe play into the emergence of stars, planets, and even life itself.

The AI was developed by lead author on the team’s research paper Suyi He from the Flatiron Institute and Carnegie Mellon University, along with coauthors Yin Li from UC Berkeley, and the Kavli Institute, Yu Feng from UC Berkeley, Shirley Ho from the Flatiron Institute and Carnegie Mellon Univesity, Wei Chen from the Flatiron Institute, Siamak Ravanbakhsh of the University of British Columbia in Vancouver, and Barnabás Póczos of Carnegie Mellon University.

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