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.
| Other author | Choudhary, Alok N. (Alok Nidhi), 1961- editor. |
| Other author | Fox, Geoffrey C., editor. |
| Other author | Hey, Anthony J. G., editor. |
| Format | Book |
| Publication | New Jersey : World Scientific, [2023] |
| Description | xi, 790 pages : illustrations (some color), color maps ; 24 cm |
| Subjects |
| Abstract | "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"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Genre/form | History. |
| LCCN | 2022039066 |
| ISBN | 9789811265662 hardcover |
| ISBN | 9811265666 hardcover |
| ISBN | electronic book for institutions |
| ISBN | electronic book for individuals |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Joyner | General Stacks | Q335 .A787143 2023 | ✔ Available | Place Hold |