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Artificial intelligence for science = a deep learning revolution /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Artificial intelligence for science/ editors, Alok Choudhary, Geoffrey Fox, Tony Hey.
其他題名:
a deep learning revolution /
其他作者:
Choudhary, Alok N.
出版者:
Singapore :World Scientific, : c2023.,
面頁冊數:
1 online resource (xi, 790 p.) :ill. (some col.), col. maps. :
標題:
Artificial intelligence - History. -
電子資源:
https://www.worldscientific.com/worldscibooks/10.1142/13123#t=toc
ISBN:
9789811265679
Artificial intelligence for science = a deep learning revolution /
Artificial intelligence for science
a deep learning revolution /[electronic resource] :editors, Alok Choudhary, Geoffrey Fox, Tony Hey. - 1st ed. - Singapore :World Scientific,c2023. - 1 online resource (xi, 790 p.) :ill. (some col.), col. maps.
Includes bibliographical references and index.
"This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities. Huge quantities of experimental data come from many sources - telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential. The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress"--
ISBN: 9789811265679Subjects--Topical Terms:
574200
Artificial intelligence
--History.
LC Class. No.: Q335 / .A787143 2023
Dewey Class. No.: 006.309
Artificial intelligence for science = a deep learning revolution /
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https://www.worldscientific.com/worldscibooks/10.1142/13123#t=toc
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