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arXiv:2403.19937astro-ph.IM

Deeper Learning in Astronomy

Douglas Scott, Ali Frolop

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Abstract

It is well known that the best way to understand astronomical data is through machine learning, where a "black box" is set up, inside which a kind of artificial intelligence learns how to interpret the features in the data. We suggest that perhaps there may be some merit to a new approach in which humans are used instead of machines to understand the data. This may even apply to fields other than astronomy.

arXiv comments
2 pages
Journal reference
DOI
Subjects
astro-ph.IMInstrumentation and Methods for Astrophysics

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