AI tagged posts

AlphaFault: High schoolers give Fabled AI a Problem it Can’t Crack

Poster of the project Playing With AlphaFold2 at the School of Molecular and Theoretical Biology held by Skoltech online in 2021. Credit: Dmitry Ivankov/Skoltech

A bioinformatics boot camp for high schoolers at Skoltech turned into a venue for the latest chapter in the ongoing contest between humans and artificial intelligence in science. Having earlier resolved a key 50-year-old problem of structural bioinformatics, the breakthrough AI program AlphaFold proved inapplicable to another challenge researchers in this field are faced with.

This finding is reported in a PLOS ONE study, whose authors refute the claims by some AlphaFold enthusiasts that DeepMind’s AI has mastered the ultimate protein physics and is the be-all and end-all of structural bioinformatics.

Structural bioinfor...

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AI finds the First Stars were Not Alone

A schematic illustration of the first star’s supernovae and observed spectra of extremely metal-poor stars. Ejecta from the supernovae enrich pristine hydrogen and helium gas with heavy elements in the universe (cyan, green, and purple objects surrounded by clouds of ejected material). If the first stars are born as a multiple stellar system rather than as an isolated single stars, elements ejected by the supernovae are mixed together and incorporated into the next generation of stars. The characteristic chemical abundances in such a mechanism are preserved in the atmosphere of the long-lived low-mass stars observed in our Milky Way Galaxy...
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Artificial Intelligence discovers Secret Equation for ‘Weighing’ Galaxy Clusters

Astrophysicists at the Institute for Advanced Study, the Flatiron Institute and their colleagues have leveraged artificial intelligence to uncover a better way to estimate the mass of colossal clusters of galaxies. The AI discovered that by just adding a simple term to an existing equation, scientists can produce far better mass estimates than they previously had.

The improved estimates will enable scientists to calculate the fundamental properties of the universe more accurately, the astrophysicists reported March 17, 2023, in the Proceedings of the National Academy of Sciences.

“It’s such a simple thing; that’s the beauty of this,” says study co-author Francisco Villaescusa-Navarro, a research scientist at the Flatiron Institute’s Center for Computational Astrophysics (CCA) in...

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AI Draws Most Accurate Map of Star Birthplaces in the Galaxy

Osaka Metropolitan University scientists identified about 140,000 molecular clouds in the Milky Way Galaxy from large-scale data of carbon monoxide molecules, observed in detail by the Nobeyama 45-m radio telescope. Using AI, the researchers estimated the distance of each of these molecular clouds to determine their size and mass, successfully mapping the distribution of the molecular clouds in the Galaxy in the most detailed manner to date.

Stars are formed by molecular gas and dust coalescing in space. These molecular gases are so dilute and cold that they are invisible to the human eye, but they do emit faint radio waves that can be observed by radio telescopes.

Observing from Earth, a lot of matter lies ahead and behind these molecular clouds and these overlapping features m...

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