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Artificial intelligence for sciencea deep learning revolution /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence for scienceeditors, Alok Choudhary, Geoffrey Fox, Tony Hey.
Reminder of title:	a deep learning revolution /
other author:	Choudhary, Alok N.
Published:	Singapore :World Scientific,c2023.
Description:	1 online resource (xi, 790 p.) :ill. (some col.), col. maps.
Subject:	Artificial intelligenceHistory.
Online resource:	https://www.worldscientific.com/worldscibooks/10.1142/13123#t=toc
ISBN:	9789811265679$q(ebook for institutions)

Artificial intelligence for sciencea deep learning revolution /
Artificial intelligence for sciencea 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: 9789811265679$q(ebook for institutions)Subjects--Topical Terms:

308040
Artificial intelligence
--History.

LC Class. No.: Q335 / .A787143 2023

Dewey Class. No.: 006.309

Artificial intelligence for sciencea deep learning revolution /
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245 0 0 $a Artificial intelligence for science $h [electronic resource] : $b a deep learning revolution / $c editors, Alok Choudhary, Geoffrey Fox, Tony Hey.
250 $a 1st ed.
260 $a Singapore : $b World Scientific, $c c2023.
300 $a 1 online resource (xi, 790 p.) : $b ill. (some col.), col. maps.
504 $a Includes bibliographical references and index.
520 $a "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"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Artificial intelligence $x History. $3 308040
650 0 $a Discoveries in science. $3 341156
700 1 $a Choudhary, Alok N. $q (Alok Nidhi), $d 1961- $3 995891
700 1 $a Fox, Geoffrey C. $3 285405
700 1 $a Hey, Anthony J. G. $3 224509
856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/13123#t=toc