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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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Autore: Bajaj Anu Visualizza persona
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 Visualizza cluster
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  
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  Visualizza cluster
ISBN: 3-031-78940-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911009337003321
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Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 1229