preprints_ui: 6bn3s_v1
Data license: ODbL (database) & original licenses (content) · Data source: Open Science Framework
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| 6bn3s_v1 | Black Holes and Artificial Intelligence: A Confluence of Cutting-Edge Science | The study of black holes, some of the most mysterious and extreme objects in the universe, has increasingly benefited from advancements in artificial intelligence (AI). Black holes challenge our understanding of physics, from the nature of spacetime to the limits of quantum mechanics. The complexity of the data collected through various observational methods, including X-ray and radio astronomy, demands sophisticated analytical tools, where AI has shown significant promise. AI algorithms, particularly machine learning (ML) and deep learning (DL) techniques, are revolutionizing how astronomers and physicists analyze vast datasets, identify patterns, and make predictions about black hole behavior. This paper explores the intersection of black hole research and AI, discussing how AI is used to enhance data processing, model simulations, and the interpretation of black hole phenomena. The integration of AI in black hole research represents a transformative approach, enabling more precise and efficient analysis, leading to deeper insights into these enigmatic objects. | 2024-09-03T03:34:40.277625 | 2024-09-03T03:42:41.001342 | 2024-09-03T03:42:27.869052 | marxiv | 1 | pending | 1 | 1 | https://doi.org/10.31230/osf.io/6bn3s | CC-By Attribution-NonCommercial-NoDerivatives 4.0 International | artificial intelligence; black hole | ["artificial intelligence", "black hole"] | Tyrone Sanders | [{"id": "zgajw", "name": "Tyrone Sanders", "index": 0, "orcid": "0000-0001-7677-3331", "bibliographic": true}] | Tyrone Sanders | Physical Sciences and Mathematics; Environmental Sciences | [{"id": "59fcb37854be8102f2532512", "text": "Physical Sciences and Mathematics"}, {"id": "59fcb37854be8102f253251b", "text": "Environmental Sciences"}] | https://osf.io/download/66d683e09fe14e724c77b577 | 0 | not_applicable | not_applicable | [] | 2025-04-09T21:06:14.431631 |