Deeper Learning in Astronomy
2024/03/29 by Douglas Scott, Ali Frolop, Scott, Douglas +1 · 6 voices
Mathematics · #Statistics Education and Methodologies
paper · pdf · doi:10.48550/arxiv.2403.19937
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.
Discussions
- This paper makes some convincing arguments. arxiv.org/abs/2403.19937 [bsky, 33 points, 3 comments]
- Although I think this one is probably my favourite: https://arxiv.org/pdf/2403.19937.pdf [bsky, 9 points, 1 comments]
- Deeper Learning in Astronomy [hn, 2 points, 0 comments]
- arxiv.org/abs/2403.19937 [bsky, 1 points, 1 comments]
- Finally real science speaks up on how to reach for the stars and AI @harkaway.bsky.social [bsky, 0 points, 0 comments]
- [2403.19937] Deeper Learning in Astronomy https:// arxiv.org/abs/2403.19937 Deepest thoughts today # arxiv # astronomy # DeepLearning # AprilfoolsDay [mastodon, 0 points, 0 comments]
Related