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bio-inspired-ai

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A neuromorphic computing approach to endpoint detection using Spiking Neural Networks (SNN) and Kolmogorov-Arnold Networks (KAN) for real-time system call anomaly detection with symbolic regression compression.

  • Updated Apr 2, 2026
  • Python

Bio-inspired adapters that improve foundation models beyond LoRA fine-tuning. 50+ neuroscience mechanisms searched via Thompson sampling over 10²² configurations. Validated on 20 benchmarks (85% win rate). Includes AI bias detection across major models.

  • Updated Mar 2, 2026

Bio-inspired continual learning library in PyTorch. Features dynamic neurogenesis, synaptic consolidation, and fast/slow weights to prevent catastrophic forgetting. Learn animals + vehicles + adapt to noise—all without destroying previous knowledge.

  • Updated Nov 25, 2025
  • Python

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