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Full Version: 1st AI universe sim is so smart/accurate that creators are baffled + "Bionano things"
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The first AI universe sim is fast and accurate and its creators don't know how it works: For the first time, astrophysicists have used artificial intelligence techniques to generate complex 3D simulations of the universe. The results are so fast, accurate and robust that even the creators aren't sure how it all works. (MORE - details)

First Ever AI Simulation Of The Universe Is So Smart That Even Scientists Are Baffled: In a paper published in the journal Proceedings of the National Academy of Sciences, the astrophysicists shared the results of their project known as the Deep Density Displacement Model or D3M. Its speed and accuracy set it apart from the previous attempts of universe simulation.

According to study coauthor Shirley Ho [...] their new AI can run simulations in just a few milliseconds, compared to other "fast" simulations that take several minutes to complete. It is also much more accurate. In fact, the accuracy of D3M is astounding, leaving Ho and the rest of her team shocked. The model has been found to accurately generate a simulation of the universe with some of the parameters tweaked, such as the amount of dark matter in the cosmos — even though D3M never received training data on these parameters changes.

"It's like teaching image recognition software with lots of pictures of cats and dogs, but then it's able to recognize elephants," Ho explained. "Nobody knows how it does this, and it's a great mystery to be solved." (MORE - details)



Nanomachines set out on a fantastic voyage
https://www.irishtimes.com/news/science/...-1.3932108

EXCERPT: . . . Prof Ian Akylidiz [...] recognised the world was full of tiny biological entities – such as bacteria, pheromones and neurons – which communicate with each other in various ways, including transmission of molecules like proteins. “We realised that these are perfect nano-scale machines in nature,” Akylidiz explains. “When you look at them under the microscope they have processors, memory and transceivers.”


[...] The idea Akylidiz and others had was to genetically engineer natural nanomachines so that they could diagnose and treat disease from inside the body, while being connected to a wireless network. It became “the Internet of Bionano Things”. The natural nanomachines would enter the body non-invasively – through inhalation or swallowing –and once inside would combat chronic illnesses such as Alzheimer’s, diabetes and Crohn’s disease.

The technical problems around setting up a network to connect nanomachines has largely been solved, Akylidiz notes. The focus of research now is on how the tiny devices can best be engineered and programmed to monitor and control diseases. The nanodevices inside the body could be connected to a kind of tattoo interface on the skin. The tattoo will gather information from inside the body and convert it into electro-magnetic waves for communication over the network.

A physician could tap into the patient’s data by accessing the secure network, he says. They could assess what’s happening inside the person’s body and programme the nanodevices to respond appropriately; all possible via an app.

[...] One scientist in Ireland working on nanomachines is Dr Cathal Kearney [...] He is manipulating DNA strands, by folding them in a manner akin to origami, so that they can be used in their new shape to integrate into DNA of diseased cells and kill them.

[...] Scientists are also looking at how bacteria or stem cells can be beneficially engineered or altered, so that they can be inserted into a diseased or damaged organ and return it to full health.

[...] The ultimate goal is to make nanomachines operate inside the body automatically, Akylidiz says. It would be the ultimate in personal medicine as nanomachines could be designed to suit the needs of a particular person. And, it’s not far off. (MORE - details)
OP Wrote:First Ever AI Simulation Of The Universe Is So Smart That Even Scientists Are Baffled
I'm a bit underwhelmed at this stage. Imagine giving 'AI' the results of drag races. We give the distance (constant), the final speed and the time to the finish line. Obviously (or not) the fastest car at the finish line isn't always the first to the finish. One of the variables in drag racing is acceleration but we're not going to tell our AI about that. Any decent AI should be able to work out that there's a variable (acceleration) we haven't told it about - but will it work out (one of) Newton's Laws of motion (s=ut+(1/2)at^2) from the information provided? And if it did would it be in a communicable form? I think not.

On the other hand the Universe isn't ruled by magic (I rashly make that assumption) so, as in the drag racing example, patterns will emerge and maybe it is helpful and maybe it isn't.