This article examines the convergence of physics, chemistry, and artificial intelligence (AI), highlighted by recent Nobel Prizes. It traces the historical development of neural networks, emphasizing interdisciplinary research's role in advancing AI. The authors advocate for nurturing AI-enabled polymaths to bridge the gap between theoretical advancements and practical applications, driving progress toward artificial general intelligence (AGI).
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11701849 | PMC |
| http://dx.doi.org/10.1016/j.patter.2024.101099 | DOI Listing |
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