Artificial intelligence for science: a deep learning revolution
"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 - te...
Gespeichert in:
Weitere Verfasser: | , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
New Jersey
World Scientific
[2023]
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Zusammenfassung: | "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"-- |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | xi, 790 Seiten |
ISBN: | 9789811265662 |
Internformat
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245 | 1 | 0 | |a Artificial intelligence for science |b a deep learning revolution |c editors: Alok Choudhary, Northwestern University, USA; Geoffrey Fox, University of Virginia, USA; Tony Hey, Rutherford Appleton Laboratory, UK |
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520 | 3 | |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"-- | |
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Datensatz im Suchindex
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adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author2 | Choudhary, Alok 1961- Fox, Geoffrey C. 1944- Hey, Anthony J. G. 1946- |
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author2_variant | a c ac g c f gc gcf a j g h ajg ajgh |
author_GND | (DE-588)1294129562 (DE-588)127092862 (DE-588)118166336 |
author_facet | Choudhary, Alok 1961- Fox, Geoffrey C. 1944- Hey, Anthony J. G. 1946- |
building | Verbundindex |
bvnumber | BV049626276 |
callnumber-first | Q - Science |
callnumber-label | Q335 |
callnumber-raw | Q335 |
callnumber-search | Q335 |
callnumber-sort | Q 3335 |
callnumber-subject | Q - General Science |
classification_rvk | ST 300 WC 7710 |
ctrlnum | (ELiSA)ELiSA-9789811265662 (OCoLC)1369840307 (DE-599)KXP182122437X |
discipline | Biologie Informatik |
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id | DE-604.BV049626276 |
illustrated | Not Illustrated |
index_date | 2024-07-03T23:37:47Z |
indexdate | 2024-07-20T07:26:02Z |
institution | BVB |
isbn | 9789811265662 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034970200 |
oclc_num | 1369840307 |
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owner | DE-11 |
owner_facet | DE-11 |
physical | xi, 790 Seiten |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | World Scientific |
record_format | marc |
spelling | Artificial intelligence for science a deep learning revolution editors: Alok Choudhary, Northwestern University, USA; Geoffrey Fox, University of Virginia, USA; Tony Hey, Rutherford Appleton Laboratory, UK New Jersey World Scientific [2023] xi, 790 Seiten txt rdacontent n rdamedia nc rdacarrier 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"-- Wissenschaftliche Revolution (DE-588)4127252-3 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Data Science (DE-588)1140936166 gnd rswk-swf Deep learning (DE-588)1135597375 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Artificial intelligence Discoveries in science Wissenschaftliche Revolution (DE-588)4127252-3 s Künstliche Intelligenz (DE-588)4033447-8 s Maschinelles Lernen (DE-588)4193754-5 s Neuronales Netz (DE-588)4226127-2 s Data Science (DE-588)1140936166 s Datenanalyse (DE-588)4123037-1 s Deep learning (DE-588)1135597375 s DE-604 Choudhary, Alok 1961- (DE-588)1294129562 edt Fox, Geoffrey C. 1944- (DE-588)127092862 edt Hey, Anthony J. G. 1946- (DE-588)118166336 edt Erscheint auch als Online-Ausgabe, ebook for institutions 9789811265679 Erscheint auch als Online-Ausgabe, ebook for individuals 9789811265686 V:DE-605;X:Imageware application/pdf http://digitale-objekte.hbz-nrw.de/storage2/2023/06/24/file_36/9376478.pdf Inhaltsverzeichnis |
spellingShingle | Artificial intelligence for science a deep learning revolution Wissenschaftliche Revolution (DE-588)4127252-3 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Datenanalyse (DE-588)4123037-1 gnd Neuronales Netz (DE-588)4226127-2 gnd Data Science (DE-588)1140936166 gnd Deep learning (DE-588)1135597375 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)4127252-3 (DE-588)4033447-8 (DE-588)4123037-1 (DE-588)4226127-2 (DE-588)1140936166 (DE-588)1135597375 (DE-588)4193754-5 |
title | Artificial intelligence for science a deep learning revolution |
title_auth | Artificial intelligence for science a deep learning revolution |
title_exact_search | Artificial intelligence for science a deep learning revolution |
title_exact_search_txtP | Artificial intelligence for science a deep learning revolution |
title_full | Artificial intelligence for science a deep learning revolution editors: Alok Choudhary, Northwestern University, USA; Geoffrey Fox, University of Virginia, USA; Tony Hey, Rutherford Appleton Laboratory, UK |
title_fullStr | Artificial intelligence for science a deep learning revolution editors: Alok Choudhary, Northwestern University, USA; Geoffrey Fox, University of Virginia, USA; Tony Hey, Rutherford Appleton Laboratory, UK |
title_full_unstemmed | Artificial intelligence for science a deep learning revolution editors: Alok Choudhary, Northwestern University, USA; Geoffrey Fox, University of Virginia, USA; Tony Hey, Rutherford Appleton Laboratory, UK |
title_short | Artificial intelligence for science |
title_sort | artificial intelligence for science a deep learning revolution |
title_sub | a deep learning revolution |
topic | Wissenschaftliche Revolution (DE-588)4127252-3 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Datenanalyse (DE-588)4123037-1 gnd Neuronales Netz (DE-588)4226127-2 gnd Data Science (DE-588)1140936166 gnd Deep learning (DE-588)1135597375 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Wissenschaftliche Revolution Künstliche Intelligenz Datenanalyse Neuronales Netz Data Science Deep learning Maschinelles Lernen |
url | http://digitale-objekte.hbz-nrw.de/storage2/2023/06/24/file_36/9376478.pdf |
work_keys_str_mv | AT choudharyalok artificialintelligenceforscienceadeeplearningrevolution AT foxgeoffreyc artificialintelligenceforscienceadeeplearningrevolution AT heyanthonyjg artificialintelligenceforscienceadeeplearningrevolution |