Bio-Inspired Computing
Produktnummer:
18da0f38c11aa54feeb6ca501920980ecb
| Themengebiete: | Bio-Inspired Computing Biologically Inspired Computing Computing and Applications IBICA IBICA 2023 Intelligent Systems |
|---|---|
| Veröffentlichungsdatum: | 06.06.2025 |
| EAN: | 9783031789397 |
| Sprache: | Englisch |
| Seitenzahl: | 501 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Abraham, Ajith Bajaj, Anu Kamimura, Ryotaro |
| Verlag: | Springer International Publishing |
| Untertitel: | 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 |
Produktinformationen "Bio-Inspired Computing"
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.
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