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.

Readership: Students, researchers, and general readers in introductory and interdisciplinary courses on complex dynamic systems and AI across natural, engineering, and social sciences, as well as innovation policy practitioners in companies and government.