Artificial Intelligence of Neuromorphic Systems: From Digital, Analogue, Quantum, and Brain-Oriented Computing to Hybrid AI

Focusing on the energy efficiency of neuromorphic systems, the book explores their potential as a sustainable technology in light of environmental challenges. It connects neuromorphic computing to analogue computing, suggesting it may surpass digital Turing limits. The discussion extends to material and engineering sciences realizing these concepts in hardware, alongside quantum mechanics offering innovative solutions. Additionally, it raises profound questions about Artificial General Intelligence (AGI) and advocates for interdisciplinary research across logic, mathematics, and cognitive science to advance this field.