7/BHVsnw3laGHS6wzeKr5g==;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
- How Machines Learn, Evolve, and Reflect the Living World
- The Anatomy of Artificial Cognition
- The Three Layers of Artificial Cognition
- Bringing the Layers Together
- Architectures of Emergence
- Transformers The Cortex of Synthetic Language
- Graph Neural Networks The Connectome of Relations
- Diffusion Models The Imagination Engine
- Reinforcement Learning The Enterprise Nervous System
- Neuro-Symbolic Reasoning The Bridge of Reflection
- The ConsciousOps Convergence