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To discover new physics, AI may need to 'unlearn' the old one
- June 10, 2026 at 4:00 AM
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A study in the Journal of Cosmology and Astroparticle Physics explores how a machine-learning strategy known as transfer learning could dramatically reduce the computational cost of searching for new physics beyond the standard cosmological model—while also revealing an unexpected risk: Sometimes AI systems can become too reliant on what they already know.
Originally published at Phys.org