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 towards perceptron, a system that extract patterns from training data and generalize for decision-making 🤖.
verilog finite-state-machine adaptive-learning pattern-recognition perceptron cybernetics icarus-verilog gtkwave learning-algorithms artificial-neuron digital-system-design hardware-optimization logisim-evolution algorithmic-optimization threshold-based-decision-making wallace-tree self-learning-system speed-vs-area-tradeoffs
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Updated
Apr 17, 2026 - Verilog