AI tagged posts

The first AI Universe Sim is Fast and Accurate and its creators don’t know how it works

A comparison of the accuracy of two models of the universe. The new model (left), dubbed D3M, is both faster and more accurate than an existing method (right) called second-order perturbation theory, or 2LPT. The colors represent the average displacement error in millions of light-years for each point in the grid relative to a high-accuracy (though much slower) model. S. He et al./Proceedings of the National Academy of Sciences 2019

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...

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Brain function partly Replicated by Nanomaterials

Spontaneous spikes being similar to nerve impulses of neurons was generated from a POM/CNT complexed network. Credit: Osaka University

Molecular/carbon nanotube network devices enable artificial spiking neurons that mimic nerve impulse generation. Researchers have created extremely dense, random SWNT/ POM network molecular neuromorphic devices, generating spontaneous spikes similar to nerve impulses of neurons. They conducted simulation calculations of the random molecular network model complexed with POM molecules, which are able to store electric charges, replicating spikes generated from ] random molecular network. They also demonstrated that this molecular model would very likely become a component of reservoir computing devices...

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Artificial Neural Networks Decode Brain Activity during performed and imagined Movements

In order to achieve better brain signal transmission quality, the researchers apply contact gel. Credit: Michael Veit

In order to achieve better brain signal transmission quality, the researchers apply contact gel. Credit: Michael Veit

Several groups from the Freiburg excellence cluster BrainLinks-BrainTools led by neuroscientist Dr. Tonio Ball are showing how ideas from computer science could revolutionize brain research. They illustrate how a self-learning algorithm decodes human brain signals that were measured by an electroencephalogram (EEG). It included performed movements, but also hand and foot movements that were merely thought of, or an imaginary rotation of objects...

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No more Burning Batteries? Scientists turn to AI to create safer Lithium-ion batteries

No more burning batteries? Stanford scientists turn to AI to create safer lithium-ion batteries

Evan Reed, assistant professor of Materials Science & Engineering at Stanford, and graduate student Austin Sendek are using artificial intelligence to develop safer batteries. Credit: L.A. Cicero/Stanford News Service

Scientists have spent decades searching for a safe alternative to the flammable liquid electrolytes used in lithium-ion batteries. Stanford University researchers have identified nearly 2-dozen solid electrolytes that could someday replace the volatile liquids used in smartphones, laptops and other electronic devices. The results, based on techniques adapted from artificial intelligence (AI) and machine learning, are published in the journal Energy & Environmental Science.

“Electrolytes shuttle lithium ions back and forth between the battery’s positive and negative electrodes...

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