Continual and Reinforcement Learning for Edge AI

Discover the future of artificial intelligence with Continual and Reinforcement Learning for Edge AI by Hang Wang. Set to be published in 2025 by Springer International Publishing AG, this insightful hardback spans 265 pages and offers a thorough exploration of how to develop AI agents capable of continuously tackling new learning tasks. This book delves into innovative techniques that enhance AI performance on resource-limited edge devices, making it an essential read for researchers and practitioners in the field. Whether you're a seasoned professional or just starting your journey in AI, this comprehensive guide will equip you with the knowledge needed to advance your understanding of continual and reinforcement learning. Don't miss the chance to elevate your expertise in Edge AI!