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AI May Need to 'Unlearn' Old Physics to Discover New Cosmic Laws
A new study shows transfer learning can speed up cosmological simulations but warns that AI systems can become too reliant on existing knowledge, potentially missing new physics.
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.
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DT Editorial Team··via phys.org