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algorithmic-optimization

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Project explores how adaptive behavior and learning-like dynamics can emerge from purely deterministic gate level systems. It transitions from strict boolean matching to popcount based decision making to adaptive learning and eventually to a perceptron, a system that extract patterns from training data and generalize for decision-making 🤖.

  • Updated Apr 15, 2026
  • Verilog

A multidimensional jet space engine for high-order mixed partial Log-Tower derivatives. Features a Chronological Step-Operator Engine (Anchor/Web logic) that eliminates Bell polynomial explosion via asymmetric tensor caching. Replaces the quotient rule with an optimized derivative generator for lightning-fast symbolic mapping.

  • Updated Apr 1, 2026
  • Python

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