How Artificial Intelligence is Transforming Cosmology: A Precision Revolution

Sunday, 1 September 2024, 02:13

Artificial Intelligence (AI) revolutionises cosmological parameters with precision, redefining our understanding of the universe. Researchers from the Flatiron Institute have harnessed AI to analyze vast datasets from the Sloan Digital Sky Survey, dramatically improving our insight into cosmic structures. This breakthrough not only enhances astronomical research but also paves the way for addressing major cosmic questions about the universe's operation.
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How Artificial Intelligence is Transforming Cosmology: A Precision Revolution

The Role of Artificial Intelligence in Cosmological Parameters

Artificial Intelligence (AI) is revolutionising our understanding of cosmological parameters, enhancing astronomical research significantly.

Deep Insights into the Universe

Researchers at the Flatiron Institute's Center for Computational Astrophysics (CCA) have applied AI to calculate essential parameters defining the universe's structure and evolution. By processing data from over 100,000 galaxies within the Sloan Digital Sky Survey (SDSS), the team aims to unlock profound insights into the cosmos.

Improving Data Efficiency with AI

  • AI allows detailed extraction of insights from large datasets.
  • Cost-effective methods can be developed from AI analyses, reducing expenditure from billions of dollars in surveys.

Training AI for Astronomical Precision

The AI model was trained on 2,000 simulated universes, incorporating various real-world imaging challenges to ensure accuracy. The application of this model to actual SDSS data yielded impressive results, shrinking uncertainties in measuring the universe's 'clumpiness' significantly.

Addressing Cosmic Mysteries

The advancements brought about by AI are pivotal in resolving ongoing cosmic mysteries, such as the Hubble tension. With the emergence of new surveys, AI-driven techniques will become invaluable in extracting maximum value from cosmic data.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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