Description: Artificial Intelligence for Scientific Discoveries by Raban Iten Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description The focus of the book is the automation of an important step of the model creation, namely finding a minimal number of natural parameters that contain sufficient information to make predictions about the considered system. Publisher Description Will research soon be done by artificial intelligence, thereby making human researchers superfluous? This book explains modern approaches to discovering physical concepts with machine learning and elucidates their strengths and limitations. The automation of the creation of experimental setups and physical models, as well as model testing are discussed. The focus of the book is the automation of an important step of the model creation, namely finding a minimal number of natural parameters that contain sufficient information to make predictions about the considered system. The basic idea of this approach is to employ a deep learning architecture, SciNet, to model a simplified version of a physicists reasoning process. SciNet finds the relevant physical parameters, like the mass of a particle, from experimental data and makes predictions based on the parameters found. The author demonstrates how to extract conceptual information from such parameters, e.g., Copernicus conclusion that the solar system is heliocentric. Author Biography 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. Details ISBN 3031270185 ISBN-13 9783031270185 Title Artificial Intelligence for Scientific Discoveries Author Raban Iten Format Hardcover Year 2023 Pages 170 Edition 2023rd Publisher Springer International Publishing AG GE_Item_ID:151441593; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 157.29 USD
Location: Fairfield, Ohio
End Time: 2025-01-27T07:44:37.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9783031270185
Type: NA
Publication Name: NA
Book Title: Artificial Intelligence for Scientific Discoveries : Extracting Physical Concepts from Experimental Data Using Deep Learning
Number of Pages: Xiii, 170 Pages
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2023
Topic: Intelligence (Ai) & Semantics, General, Databases / General, Physics / Mathematical & Computational
Illustrator: Yes
Genre: Computers, Science
Item Weight: 16 Oz
Author: Raban Iten
Item Length: 9.3 in
Item Width: 6.1 in
Format: Hardcover