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🦀 rust
New comment by rimunroe in "Counter-Strike: A billion-dollar game built in a dorm room"
news.ycombinator.com·14h·
Discuss: Hacker News
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An assist from the chaperone
nature.com·9m
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Intercellular communication in the fern endosymbiotic cyanobacterium Nostoc azollae
journals.asm.org·18h
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Readers sound off on aid to Israel , sharks and Ozzy Osbourne
nydailynews.com·2h
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Skin region images extracted from 3D total body photographs for lesion detection
nature.com·18h
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Behavioral and Symbolic Fillers as Delay Mitigation for Embodied Conversational Agents in Virtual Reality
arxiv.org·6h
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Understanding Lambda Functions in Python: Definition, Usage, and Applications
dev.to·8h·
Discuss: DEV
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How to Build Abstractions in Rust Applications (2023)
orodu.net·4d·
Discuss: Lobsters, Hacker News, r/programming
💻software development
Quark’s Outlines: Python Complex Numbers
dev.to·1d·
Discuss: DEV
💻software development
Active Fault Identification and Robust Control for Unknown Bounded Faults via Volume-Based Costs
arxiv.org·6h
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First Thing: Trump pressures Zelenskyy before European leaders arrive in Washington
theguardian.com·1d
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I made an app that lets you use Claude Code with your PS5 controller
reddit.com·14h·
Discuss: r/ClaudeAI
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S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing
arxiv.org·6h
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Cut LLM API Costs with Smart Caching
github.com·14h·
Discuss: r/LLM, r/typescript
💻software development
Does anyone else have extreme anxiety around releasing your game?
reddit.com·10h·
Discuss: r/gamedev
💻software development
Optimality of Linear Policies in Distributionally Robust Linear Quadratic Control
arxiv.org·6h
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A Production-Ready Machine Learning System for Inclusive Employment: Requirements Engineering and Implementation of AI-Driven Disability Job Matching Platform
arxiv.org·6h
💻software development
Say It, See It: A Systematic Evaluation on Speech-Based 3D Content Generation Methods in Augmented Reality
arxiv.org·6h
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M3PO: Multimodal-Model-Guided Preference Optimization for Visual Instruction Following
arxiv.org·6h
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GraphCogent: Overcoming LLMs' Working Memory Constraints via Multi-Agent Collaboration in Complex Graph Understanding
arxiv.org·6h
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