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Sentinel-AI is a neuroscience-inspired transformer that dynamically prunes and regrows attention heads. Guided by controller feedback and entropy-based pruning, it self-optimizes through biologically informed cycles—compressing, adapting, and evolving its architecture over time.
Falsification project derived from ARCH-COMP 2024 AINNCS, Airplane benchmark. This repository serves as final project for Safe and Verified Artificial Intelligence course at UniTs.