| 000 | 00000cam u2200205 i 4500 | |
| 001 | 000046165493 | |
| 005 | 20240228145353 | |
| 008 | 231124s2023 flua b 001 0 eng | |
| 010 | ▼a 2022010923 | |
| 020 | ▼a 9781032156552 ▼q (hbk) | |
| 020 | ▼a 9781032151694 ▼q (pbk) | |
| 020 | ▼z 9781003245186 ▼q (ebk) | |
| 035 | ▼a (KERIS)REF000020072073 | |
| 040 | ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d DLC ▼d 211009 | |
| 042 | ▼a pcc | |
| 050 | 0 0 | ▼a QC52 ▼b .K54 2022 |
| 082 | 0 0 | ▼a 530.0285/63 ▼2 23 |
| 082 | 0 4 | ▼a 006.3 ▼2 23 |
| 084 | ▼a 006.3 ▼2 DDCK | |
| 090 | ▼a 006.3 ▼b A7918 ▼c 2 | |
| 100 | 1 | ▼a Knecht, Volker, ▼d 1970- ▼0 AUTH(211009)162137. |
| 245 | 1 0 | ▼a AI for physics / ▼c Volker Knecht, with contributions from Kilian Hikaru Scheutwinkel, Mario Campanelli, Mayank Agrawal, Álvara Díaz Fernández, Chao Fang, Daniel Grün, Bernard Jones, Jimena González Lozano, Yang-Hui He. |
| 250 | ▼a 1st ed. | |
| 260 | ▼a Boca Raton : ▼b CRC Press, ▼c 2023. | |
| 264 | 1 | ▼a Boca Raton : ▼b CRC Press, ▼c [2023] |
| 300 | ▼a xviii, 129 p. : ▼b ill. ; ▼c 21 cm. | |
| 336 | ▼a text ▼b txt ▼2 rdacontent | |
| 337 | ▼a unmediated ▼b n ▼2 rdamedia | |
| 338 | ▼a volume ▼b nc ▼2 rdacarrier | |
| 490 | 1 | ▼a AI for everything series ; ▼v [v. 2] |
| 504 | ▼a Includes bibliographical references and index. | |
| 520 | ▼a "Written in accessible language without mathematical formulas, the book covers important machine learning algorithms and their respective applications in physics and across a number of important sub-fields in more detail, ranging from particle, molecular and condensed matter physics, to astrophysics, cosmology and the theory of everything"--Provided by publisher. | |
| 650 | 0 | ▼a Physics ▼x Data processing. |
| 650 | 0 | ▼a Machine learning. |
| 700 | 1 | ▼a Scheutwinkel, Kilian Hikaru ▼0 AUTH(211009)162144. |
| 700 | 1 | ▼a Campanelli, M. ▼q (Mario) ▼0 AUTH(211009)162139. |
| 700 | 1 | ▼a Agrawal, Mayank ▼0 AUTH(211009)162138. |
| 700 | 1 | ▼a Fernández, Álvaro Díaz ▼0 AUTH(211009)162141. |
| 700 | 1 | ▼a Fang, Chao. |
| 700 | 1 | ▼a Grün, Daniel, ▼d 1986- ▼0 AUTH(211009)162140. |
| 700 | 1 | ▼a Jones, B. J. T. ▼q (Bernard Jean Trefor), ▼d 1946- ▼0 AUTH(211009)162142. |
| 700 | 1 | ▼a Lozano, Jimena González ▼0 AUTH(211009)162143. |
| 700 | 1 | ▼a He, Yang-hui, ▼d 1975-. |
| 830 | 0 | ▼a AI for everything series; ▼v [v. 2]. |
| 945 | ▼a ITMT |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 006.3 A7918 2 | 등록번호 121264838 (2회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Written in accessible language without mathematical formulas, this short book provides an overview of the wide and varied applications of artificial intelligence (AI) across the spectrum of physical sciences. Focusing in particular on AI's ability to extract patterns from data, known as machine learning (ML), the book includes a chapter on important machine learning algorithms and their respective applications in physics. It then explores the use of ML across a number of important sub-fields in more detail, ranging from particle, molecular and condensed matter physics, to astrophysics, cosmology and the theory of everything. The book covers such applications as the search for new particles and the detection of gravitational waves from the merging of black holes, and concludes by discussing what the future may hold.
Written in accessible language without mathematical formulas, the book covers important machine learning algorithms and their respective applications in physics and across a number of important sub-fields in more detail, ranging from particle, molecular and condensed matter physics, to astrophysics, cosmology and the theory of everything.
정보제공 :
목차
Part I: Opening 1. Gathering the Team 2. Teamplay 3. The Rules of the Game Part II: Machine-Learning the World from Subatomic to Cosmic Scales 4. AI for Particle Physics 5. AI for Molecular Physics 6. AI for Condensed Matter Physics 7. AI for Cosmology Part III: Showdown 8. AI for Theory of Everything 9. Conclusion and Outlook