Recent Advances in Neuromorphic Computing

ISBN 10: 0854662243 / ISBN 13: 9780854662241

Published by Intechopen Jul 2025, 2025

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Artificial Intelligence (AI) is a transformative technology that reshapes our daily lives. Machine Learning (ML), the engine of such a revolution, empowers computers to learn from data, driving innovation in areas such as medicine, robotics, and smart cities through edge applications. These applications bring AI processing closer to the data source, enabling real-time insights and decisions. This evolution is fueled by advancements in hardware and architecture: (1) neuromorphic computing promises unparalleled efficiency; (2) in-memory computing eliminates data access bottlenecks, while emerging memory materials offer denser, faster, and more energy-efficient storage. Looking ahead, AI promises even more profound changes. For instance, explainable AI will make decision-making more transparent, and truly autonomous systems will adapt to unforeseen circumstances. Last but not least, the convergence of AI with quantum computing could unlock entirely new possibilities. This journey showcases a deep understanding of both the theoretical foundations and practical applications of AI. It also demands careful consideration of ethical implications and a commitment to responsible development, ensuring that AI benefits all of humanity.Books on Demand GmbH, Überseering 33, 22297 Hamburg 182 pp. Englisch.

Seller Inventory # 9780854662241

Bibliographic Details

• Title: Recent Advances in Neuromorphic Computing
• Publisher: Intechopen Jul 2025
• Publication Date: 2025
• Language: English
• ISBN 10: 0854662243
• ISBN 13: 9780854662241
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 17D millimeters 260 millimeters width by 183 millimeters height by 17 millimeters depth
• Weight: 590 grams

About this title

Synopsis

Artificial Intelligence (AI) is a transformative technology that reshapes our daily lives. Machine Learning (ML), the engine of such a revolution, empowers computers to learn from data, driving innovation in areas such as medicine, robotics, and smart cities through edge applications. These applications bring AI processing closer to the data source, enabling real-time insights and decisions. This evolution is fueled by advancements in hardware and architecture: (1) neuromorphic computing promises unparalleled efficiency; (2) in-memory computing eliminates data access bottlenecks, while emerging memory materials offer denser, faster, and more energy-efficient storage. Looking ahead, AI promises even more profound changes. For instance, explainable AI will make decision-making more transparent, and truly autonomous systems will adapt to unforeseen circumstances. Last but not least, the convergence of AI with quantum computing could unlock entirely new possibilities. This journey showcases a deep understanding of both the theoretical foundations and practical applications of AI. It also demands careful consideration of ethical implications and a commitment to responsible development, ensuring that AI benefits all of humanity.