| 000 | 02734cam a22004338a 4500 | ||
|---|---|---|---|
| 001 | 00013123 | ||
| 003 | WSP | ||
| 005 | 20260416153411.0 | ||
| 007 | cr |nu|||unuuu | ||
| 008 | 220930s2023 si ob 001 0 eng | ||
| 010 | _a 2022039066 | ||
| 040 |
_aWSPC _beng _cWSPC |
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| 020 |
_a9789811265679 _q(ebook) |
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| 020 |
_a9811265674 _q(ebook) |
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| 020 |
_z9789811265662 _q(hbk.) |
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| 020 |
_z9811265666 _q(hbk.) |
||
| 042 | _apcc | ||
| 050 | 0 | 0 | _aQ335 |
| 072 | 7 |
_aCOM _x004000 _2bisacsh |
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| 072 | 7 |
_aCOM _x094000 _2bisacsh |
|
| 082 | 0 | 0 | _a006.309 |
| 049 | _aMAIN | ||
| 245 | 0 | 0 |
_aArtificial intelligence for science : _ba deep learning revolution / _ceditors, Alok Choudhary, Geoffrey Fox & Tony Hey. |
| 260 |
_aSingapore : _bWorld Scientific Publishing, _c2023. |
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| 300 | _a1 online resource (804 p.) | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aIntroduction to AI for science -- Setting the scene -- Exploring application domains. Astronomy and cosmology -- Climate change - Energy -- Environmental science - Health -- Life sciences -- Materials science and engineering -- Particle physics -- The ecosystem of AI for science -- Perspectives on AI for science -- Endpiece: AI tools and concepts. | |
| 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"-- _cPublisher's website. |
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| 538 | _aMode of access: World Wide Web. | ||
| 538 | _aSystem requirements: Adobe Acrobat reader. | ||
| 650 | 0 |
_aArtificial intelligence _xHistory. |
|
| 650 | 0 | _aDiscoveries in science. | |
| 655 | 0 | _aElectronic books. | |
| 700 | 1 |
_aChoudhary, Alok N. _q(Alok Nidhi), _d1961- |
|
| 700 | 1 | _aFox, Geoffrey C. | |
| 700 | 1 | _aHey, Anthony J. G. | |
| 856 | 4 | 0 | _uhttps://www.worldscientific.com/worldscibooks/10.1142/13123#t=toc |
| 942 | _cE-BOOK | ||
| 999 |
_c49751 _d49751 |
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