New AI algorithms are 95% better at showing how the universe changes over time
A new suite of AI algorithms called GAME improves the accuracy of modeling how the universe changes over time, particularly in measuring rates of change, by combining multiple algorithms and ensemble averaging. The technique shows a 95% improvement in derivative accuracy compared to traditional methods, offering sharper insights into cosmic evolution. It has already been applied to reconstruct the Hubble constant using cosmic chronometer data. GAME's enhanced precision could help test cosmological models independently as new data becomes available.
- ▪GAME, which stands for Genetic Algorithms with Marginalised Ensembles, uses a group of algorithms and weighted averaging to improve cosmic reconstructions.
- ▪The method achieves a 95% improvement in accuracy for derivatives—measurements of how quickly cosmic properties change over time.
- ▪GAME has been used to reconstruct the Hubble constant from cosmic chronometer data with results consistent with current cosmological models.
- ▪Unlike traditional genetic algorithms, GAME reduces errors in nonobservable quantities by leveraging ensemble smoothness and data fit.
- ▪The approach is model-independent, allowing for unbiased tests of cosmological theories as new data arrives from observatories like DESI.
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Space Astronomy Cosmology New AI algorithms are 95% better at showing how the universe changes over time News By Paul Sutter published 28 April 2026 A squad of new AI algorithms called GAME could help astrophysicists take a more accurate reading of the universe's changing behavior, a new study suggests. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. An illustration of a computer-rendered cosmos. A new suite of AI algorithms could help describe the nature of the universe with unprecedented accuracy, a new study claims.
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