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Tag: #theorem-prover2 results

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TorchLean Formalizes NNs in Lean

TorchLean is a Lean 4 framework treating neural networks as first-class mathematical objects for unified execution and verification. It offers a verified PyTorch-style API, explicit Float32 semantics, and IBP/CROWN-style bound propagation. Validated on certified robustness, PINNs, and neural controllers with mechanized theorems.

Reddit r/MachineLearningCommunityMar 2#formal-verification#theorem-prover#nn-safety
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Cybersecurity Must Protect Physical Reality

As industrial systems, infrastructure, robots, and AI agents gain the ability to change physical conditions, cybersecurity must protect actions and outcomes—not only data and access. The article argues that future defenses need to evaluate whether an authorized action is appropriate for the current environment, state, and safety boundaries.