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| Autore: |
Bajaj Anu
|
| Titolo: |
Bio-Inspired Computing : Proceedings of the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) held during December 14-15, 2023, Volume 2: Deep Learning and Large Language Models / / edited by Anu Bajaj, Ajith Abraham, Ryotaro Kamimura
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| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Edizione: | 1st ed. 2025. |
| Descrizione fisica: | 1 online resource (728 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Altri autori: |
AbrahamAjith <1968->
KamimuraRyotaro
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| Sommario/riassunto: | This book presents 53 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) and 13th World Congress on Information and Communication Technologies (WICT 2023), which was held in five different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The 23rd International Conference on Hybrid Intelligent Systems (IBICA-WICT 2023) was focusing on synergistic combinations of multiple approaches to develop the next generation of bio-inspired computing and ICT systems. IBICA-WICT 2023 had contributions by authors from 36 countries. This book offers a valuable reference guide for all scientists, academicians, researchers, students, and practitioners focused on advanced machine learning including deep learning methods, large language models, and its real-world applications. |
| Titolo autorizzato: | Bio-Inspired Computing ![]() |
| ISBN: | 3-031-78940-7 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911009337003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |