Programming for Computations: Matlab/Octave
📐Error Bounds
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The Illustrated NeurIPS 2025: A Visual Map of the AI Frontier
newsletter.languagemodels.co·1d
🇸🇪Nordic Algorithms
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Good abstractions for humans turn out to be good abstractions for LLMs
✨Effect Handlers
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Mind the Gap: Missing Cyber Threat Coverage in NIDS Datasets for the Energy Sector
arxiv.org·14h
🏠Homelab Pentesting
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H-FA: A Hybrid Floating-Point and Logarithmic Approach to Hardware Accelerated FlashAttention
arxiv.org·14h
⚡Compression Hardware
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Benchmarking Generative AI Against Bayesian Optimization for Constrained Multi-Objective Inverse Design
arxiv.org·14h
🧮Constraint Solvers
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Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model
arxiv.org·14h
📊Learned Metrics
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The Curvature Rate {\lambda}: A Scalar Measure of Input-Space Sharpness in Neural Networks
arxiv.org·14h
🌀Riemannian Computing
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FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts
arxiv.org·14h
🧮Vector Embeddings
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What a diff makes: automating code migration with large language models
arxiv.org·14h
🔄Language Evolution
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Contrastive Knowledge Transfer and Robust Optimization for Secure Alignment of Large Language Models
arxiv.org·1d
💻Local LLMs
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This is one way I use AI for coding
⚡Proof Automation
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Prog8
🔩Systems Programming
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Iterative Foundation Model Fine-Tuning on Multiple Rewards
arxiv.org·14h
⚡Incremental Computation
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