**Subtitle:**
How Nature's Design Principles Are Rewiring the Future of Artificial Intelligence
**Author:**
[Peter Gwyn Jones]
**Language:**
English
**Publication Year:**
2025
**Description:**
*Biomimicry AI: The Silicon Brain* explores how the next revolution in computing will not come from faster silicon, but from mimicking the profound efficiency of the biological brain. It argues that the future of intelligence depends on abandoning the brute-force energy demands of current AI systems and embracing the design laws of nature - sparsity, co-located memory, and event-driven computation.
Through clear explanations and vivid analogies, the book traces the fall of Moore's Law, the rise of neuromorphic engineering, and the promise of materials like memristors and phase-change memory. It reveals how these innovations could create machines that think with the elegance of carbon rather than the waste of silicon.
A concise, accessible guide to the frontier of sustainable intelligence, *Biomimicry AI* is essential reading for engineers, technologists, and anyone curious about how biology is shaping the future of artificial minds.
**Keywords / Tags:**
Artificial Intelligence, Neuromorphic Computing, Biomimicry, Memristor, In-Memory Computing, Energy Efficiency, Sustainable Technology, Spiking Neural Networks, Carbon Compiler, Brain-Inspired Computing, Future of AI
