AI tagged posts

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...
Read More

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...

Read More

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...

Read More

Researchers use Artificial Intelligence to Predict Cardiovascular Disease

Researchers use artificial intelligence to predict cardiovascular disease
Study design, workflow, and bioinformatics. Overall research methodology includes, (1) clinical data analysis; (2) cohort building; (3) cardiovascular disease-based sample collection; (4) sample management and tracking; (5) RNA extraction, and high-throughput sequencing; (6) pipeline and bioinformatics application development for RNA-seq data processing, quality checking, gene-disease annotation, and phenotyping; and (7) implementation of artificial intelligence and machine learning techniques for predictive analysis. Credit: Genomics (2023). DOI: 10.1016/j.ygeno.2023.110584

Researchers may be able to predict cardiovascular disease — such as arterial fibrillation and heart failure — in patients by using artificial intelligence (AI) to examine the genes in their DNA, according to a new ...

Read More