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To discover new physics, AI may need to “unlearn” the old one
A study in the Journal of Cosmology and Astroparticle Physics (JCAP) 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.
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eurekalert.org
To discover new physics, AI may need to “unlearn” the old one
A study in the Journal of Cosmology and Astroparticle Physics (JCAP) explores how a machine-learning strategy known as transfer learning could dramatically reduce the…
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gizmodo.com
AI Learned How the Universe Works—and That Created an Unexpected Problem for Physicists
When it comes to physics, AI seems to be as bound by prior biases as human scientists.