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Beschreibung
This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance the AI at resource-limited edge devices. The authors introduce readers to practical frameworks and in-depth algorithmic foundations. The book surveys the recent advances in the area, coming from both academic researchers and industry professionals. The authors also present their own research findings on continual and reinforcement learning for edge AI. The book also covers the practical applications of the topic and identifies exciting future research opportunities.
Framework, Foundation, and Algorithm Design
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 21. Mai 2025 |
| Maße | 24 cm x 16.8 cm |
| Gewicht | 649 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783031843624 |
| Seiten | 265 |
Schlagwörter
Angewandte Informatik, Artificial Intelligence, Computer and Information Systems Applications, Computer Communication Networks, Computer Engineering and Networks, Computerhardware, Computernetzwerke und maschinelle Kommunikation, Internet of Things, Künstliche Intelligenz, Machine Learning, Maschinelles Lernen, Netzwerk-Hardware
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