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Reinforcement learning in artificial and biological systems
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“Rapid advances in artificial intelligence and machine learning are already enabling substantial advances in biological design that were unimaginable 5 years ago (193–196), and the application of these techniques to the PFAS problem has already started to appear in the scientific literature (197–199).”
From Toward the development of a molecular toolkit for the microbial remediation of per-and polyfluoroalkyl substances (2024) · cites this paper as [195]
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Metadata
- Authors
- Neftci, E. O., & Averbeck, B. B.
- Venue
- Nature Machine Intelligence
- Published
- 2019-03-04
- Volume
- 1
- Issue
- 3
- Pages
- 133-143
- ISSN
- 2522-5839
- Cited by
- 268
- References
- 28
- Language
- en
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