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README.md
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## Links
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- π¬ [FI Scanner demo](https://huggingface.co/spaces/CognitiveEngineering/sal-torch-demo)
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- π [cognitive-engineering.dev](https://cognitive-engineering.dev)
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- π§ [sal-torch on GitHub](https://github.com/zeekmartin/sal-torch)
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- π¦ [sal-torch on PyPI](https://pypi.org/project/sal-torch/)
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## Links
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- π [cognitive-engineering.dev](https://cognitive-engineering.dev)
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- π§ [sal-torch on GitHub](https://github.com/zeekmartin/sal-torch)
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- π¦ [sal-torch on PyPI](https://pypi.org/project/sal-torch/)
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<!doctype html>
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<html><head><meta charset="utf-8"><meta name="viewport" content="width=device-width">
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<title>Cognitive Engineering</title>
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<h1>Cognitive Engineering</h1>
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<p>Structural intelligence for AI systems. Based in Switzerland.</p>
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<h2>Products</h2>
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<p><b>sal-torch</b> β Training-time structural sparsification for PyTorch transformers. Makes models compression-resilient by design. Source-available (BSL 1.1). PPAM 2026, Springer LNCS. <code>pip install sal-torch</code></p>
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<p><b>sal-certify</b> β Structural AI certification for autonomous systems. Verifies that deployed AI models are structurally identical to the ones certified. Mapped to EU AI Act, NIST AI RMF, SR 11-7, China GB 44721.</p>
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<h2>Links</h2>
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<ul>
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<li><a href="https://cognitive-engineering.dev">cognitive-engineering.dev</a></li>
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<li><a href="https://github.com/zeekmartin/sal-torch">sal-torch on GitHub</a></li>
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<li><a href="https://pypi.org/project/sal-torch/">sal-torch on PyPI</a></li>
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<li><a href="https://huggingface.co/datasets/CognitiveEngineering/sal-torch-benchmarks">sal-torch benchmarks dataset</a></li>
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<li><a href="https://cognitive-engineering.dev/sal-certify">sal-certify</a></li>
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<li>PPAM 2026, Springer LNCS (Paper CP031)</li>
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<li>EuroHPC grant holder (5,000 GPU hours on LUMI)</li>
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</ul>
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<p>Built by Cognitive Engineering (Switzerland).</p>
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