Artificial Intelligence for Scientific Discoveries: Extracting Physical Concepts from Experimental Data Using Deep Learning

Author:   Raban Iten
Publisher:   Springer International Publishing AG
ISBN:  

9783031270215


Pages:   170
Publication Date:   13 April 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Artificial Intelligence for Scientific Discoveries: Extracting Physical Concepts from Experimental Data Using Deep Learning


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Author:   Raban Iten
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031270215


ISBN 10:   3031270215
Pages:   170
Publication Date:   13 April 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction.- Machine Learning Background.- Overview of Using Machine Learning for Physical Discoveries.- Theory: Formalizing the Process of Human Model Building.- Methods: Using Neural Networks to Find Simple Representations.- Applications: Physical Toy Examples.- Open Questions and Future Prospects.

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Raban Iten studied Physics and Mathematics at ETH Zürich, followed by a Ph.D. in quantum computation. During his Ph.D., he worked on using machine learning to discover physical concepts from experimental data of classical and quantum systems. This work was widely covered in the media and pointed out as a research highlight of 2019 by Nature Reviews Physics. Furthermore, he developed algorithms for quantum compilers and contributed to various open-source libraries for quantum computing.  

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