Artificial Intelligence has transformed the world by scaling learning, but learning alone is not intelligence.

The Next Architecture of Intelligence explores what modern AI inherited from biology, what it left behind, and why the future of intelligent systems will require a fundamentally different computational architecture.

Drawing from neuroscience, computer architecture, systems engineering, memory-centric computing, and enterprise-scale technology, the book examines intelligence faculty by faculty, revealing where today's AI excels, where it fundamentally differs from biological intelligence, and how future machines may bridge that gap.

Rather than treating intelligence as a larger neural network, this book argues for a new architectural paradigm where memory, energy, control, adaptation, and continuity become first-class design principles.

Written for technology leaders, AI practitioners, researchers, semiconductor professionals, architects, and advanced students, this book offers a practical framework for understanding where artificial intelligence is headed beyond today's deep learning revolution.