 | | 系統號碼 | 945863 | | 書刊名 | Artificial intelligence for science : a deep learning revolution / | | 主要著者 | editors, Alok Choudhary, Northwestern University, USA, Geoffrey Fox, University of Virginia, USA, Tony Hey, Rutherford Appleton Laboratory, UK. | | 其他著者 | Choudhary, Alok N. 1961-;Fox, Geoffrey C., ;Hey, Anthony J. G., | | 出版項 | New Jersey : World Scientific, [2023] | | 索書號 | Q335.A787143 2023 | | ISBN | 9789811265662 | | 標題 | Artificial intelligence-History.
Discoveries in science.
Intelligence artificielle-Histoire.
De?couvertes scientifiques.
Artificial intelligence-fast
Discoveries in science-fast | | | |
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| | 資料類型 | 狀態 | 應還日期 | 預約人數 | 館藏地 | 索書號 | 條碼號 | | 找書 | 圖書 | 在架上 | | 0 | 總館
西文圖書區  | Q335 .A787143 2023 | W115344 |
| 內容簡介 | "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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