Show HN: I built an edge ML system to detect and classify trick-or-treaters
⚙algorithms
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Best tool for measuring lots of source code
shape-of-code.com·1d
🔬Static Analysis
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The Learning Loop and LLMs
🏗️Design Patterns
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Defining Types for a Simple HTTP Server
mmhaskell.com·1d
📊Data Structures
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Building Trinity Protocol v3.1: A Deep Dive into 2-of-3 Multi-Chain Consensus
🌳Red-Black Trees
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A Systematic Literature Review of Code Hallucinations in LLMs: Characterization, Mitigation Methods, Challenges, and Future Directions for Reliable AI
arxiv.org·15h
🔬Static Analysis
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Reflections on Trusting Trust (1984)
💣Binary Exploitation
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Predicting & Mitigating Data Corruption in Pure Storage Flash Arrays via Adaptive Bit Error Rate Modeling
🏗️Design Patterns
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Deep learning-enhanced multi-fidelity framework for seismic fragility analysis of nuclear power plant containment structures: Submitted to: Reliability Engineer...
sciencedirect.com·4h
📈Optimization
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Convergence analysis for a tree-based nonlinear reduced basis method
arxiv.org·15h
🔢Numerical Methods
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LLMs Position Themselves as More Rational Than Humans: Emergence of AI Self-Awareness Measured Through Game Theory
arxiv.org·15h
🌳Red-Black Trees
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Reasoning Models Sometimes Output Illegible Chains of Thought
arxiv.org·1d
🌳Red-Black Trees
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