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{
"item_title" : "Artificial Intelligence for Science",
"item_author" : [" Saso Dzeroski", "Youngsoo Choi", "J. Nathan Kutz "],
"item_description" : "AI systems will support scientists by expanding the scope of inquiry, accelerating the generation and testing of hypotheses, and making possible forms of experimentation and analysis that would otherwise be impractical.By presenting complementary perspectives on automated discovery, equation discovery, and modelling dynamical systems, this volume offers both an account of current progress and a foundation for further research into how intelligent systems can contribute responsibly and creatively to science.
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Artificial Intelligence for Science : Computational Approaches to Scientific Discovery
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Preorder. This item will be available on March 14, 2027 .
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Overview
AI systems will support scientists by expanding the scope of inquiry, accelerating the generation and testing of hypotheses, and making possible forms of experimentation and analysis that would otherwise be impractical.
By presenting complementary perspectives on automated discovery, equation discovery, and modelling dynamical systems, this volume offers both an account of current progress and a foundation for further research into how intelligent systems can contribute responsibly and creatively to science.
This item is Non-Returnable
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Details
- ISBN-13: 9783032422705
- ISBN-10: 3032422701
- Publisher: Springer
- Publish Date: March 2027
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