COMPLEX SYSTEMS, ARTIFICIAL INTELLIGENCE & EMERGING TECH

Mainzer Klaus

ISBN 10: 9819813131 / ISBN 13: 9789819813131

Published by World Scientific, 2025

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This book is the opening volume of an interdisciplinary series exploring the dynamic intersection of complex systems, artificial intelligence (AI), and emerging technologies. As AI-driven solutions become essential for handling vast and ever-growing data sets, innovation in computing technologies is crucial. At the same time, sustainability and resource limitations must be addressed.Bringing together classic digitalization, neuromorphic computing, quantum technologies, and the latest breakthroughs in generative AI (e.g., ChatGPT, Deepseek), this book examines the evolving innovation portfolio that shapes the future of AI and computing. It highlights the balance between digital and analog technologies, advocating for a hybrid IT and AI approach geared toward efficiency and sustainability.Rooted in decades of research on complex systems and AI, this volume sets the stage for a broader discussion on strategic innovation, offering insights into the evolving technological landscape and its impact on society.

Seller Inventory # 9789819813131

Bibliographic Details

• Title: COMPLEX SYSTEMS, ARTIFICIAL INTELLIGENCE & EMERGING TECH
• Publisher: World Scientific
• Publication Date: 2025
• Language: English
• ISBN 10: 9819813131
• ISBN 13: 9789819813131
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 157H x 16D millimeters 235 millimeters width by 157 millimeters height by 16 millimeters depth
• Weight: 459 grams

About this title

Synopsis

This book is the opening volume of an interdisciplinary series exploring the dynamic intersection of complex systems, artificial intelligence (AI), and emerging technologies. As AI-driven solutions become essential for handling vast and ever-growing data sets, innovation in computing technologies is crucial. At the same time, sustainability and resource limitations must be addressed. Bringing together classic digitalization, neuromorphic computing, quantum technologies, and the latest breakthroughs in generative AI (e.g., ChatGPT, Deepseek), this book examines the evolving innovation portfolio that shapes the future of AI and computing. It highlights the balance between digital and analog technologies, advocating for a hybrid IT and AI approach geared toward efficiency and sustainability. Rooted in decades of research on complex systems and AI, this volume sets the stage for a broader discussion on strategic innovation, offering insights into the evolving technological landscape and its impact on society.