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AI May Need to 'Unlearn' Old Physics to Discover New Cosmic Laws
Key Takeaways
- Transfer learning can reduce computational cost of cosmological simulations by up to 90%.
- AI systems pretrained on standard ΛCDM model may become biased and miss signs of new physics.
- Study published in Journal of Cosmology and Astroparticle Physics uses Quijote simulations.
- Researchers suggest developing methods to help AI 'unlearn' irrelevant knowledge.
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DT Editorial Team··via phys.org
