Memory efficiency, Buffer management, Performance, Systems programming

From Gtk+libadwaita to Qt+KDE Frameworks: Easyeffects rewrite
github.com·1d·
Discuss: r/linux
🕸️WASM
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⚡ Lightning-Fast Face Recognition with InsightFace + SORT + Qdrant
dev.to·1d·
Discuss: DEV
🕸️WASM
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World-in-World: World Models in a Closed-Loop World
dev.to·2h·
Discuss: DEV
λFunctional Programming
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Automated Differential Privacy Enforcement via Generative Adversarial Networks for Synthetic Data Fabric Construction
dev.to·3d·
Discuss: DEV
🔍Parsers
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Explaining Bayesian Neural Networks
arxiv.org·11h
🔍Parsers
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The $50 Coffee That Changed My Mind About AI: From Novelty to Playbook
dev.to·1d·
Discuss: DEV
λFunctional Programming
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AI Hive Mind: Building Shared Mental Spaces for Smarter Swarms
dev.to·1d·
Discuss: DEV
🪶suckless
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Predictive Traffic Flow Optimization via Multi-Agent Reinforcement Learning and Graph Neural Networks
dev.to·1d·
Discuss: DEV
🕸️WASM
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How I learned to “use AI” in 3 baby steps
dev.to·10h·
Discuss: DEV
λFunctional Programming
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Best AI-Powered App Builders with Export to Expo for Mobile Development in 2025
dev.to·2d·
Discuss: DEV
🕸️WASM
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Tech With Tim: Is This the Fastest App Build Ever? (Base44 Demo)
dev.to·2d·
Discuss: DEV
❄️Nix Flakes
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Security Audit of intel ICE Driver for e810 Network Interface Card
arxiv.org·6d
🕸️WASM
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Tech With Tim: I Let 3 AIs Compete to Build the Same App…
dev.to·1d·
Discuss: DEV
λFunctional Programming
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A Dual Perspective on Decision-Focused Learning: Scalable Training via Dual-Guided Surrogates
arxiv.org·1d
λFunctional Programming
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ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
arxiv.org·1d
λFunctional Programming
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Enhanced Turbine Blade Erosion Prediction via Multi-Modal Data Fusion & Bayesian Neural Networks
dev.to·1d·
Discuss: DEV
🕸️WASM
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The Production AI Agent Checklist
dev.to·1d·
Discuss: DEV
🏠Home Manager
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Clinical-ComBAT: a diffusion-weighted MRI harmonization method for clinical applications
arxiv.org·1d
🐫OCaml
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Python + AI - The Essential Skill Combination for Modern Workers Without Coding Backgrounds
dev.to·17h·
Discuss: DEV
🪶suckless
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Dutch Metaphor Extraction from Cancer Patients' Interviews and Forum Data using LLMs and Human in the Loop
arxiv.org·11h
🔍Parsers
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