A new suite of AI algorithms, dubbed GAME (Genetic Algorithms with Marginalised Ensembles), is achieving unprecedented accuracy in observing how the universe changes over time. This advanced technique promises to refine our understanding of cosmology.

While traditional methods struggle with subtle cosmic shifts, GAME utilizes ensemble averaging, combining multiple algorithms with weighted solutions. This approach yielded a 20% overall accuracy improvement and a remarkable 95% leap in accuracy for measuring crucial derivatives, which track rates of change.

GAME is already being used to reconstruct the universe's expansion rate, the Hubble constant, using data from cosmic chronometers. The results align with existing cosmological models, offering sharper insights for future data from observatories like the Dark Energy Spectroscopic Instrument.