A Week of Teaching
fivetwelvethirteen.substack.com·8h·
Discuss: Substack
🎯Bitboards
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Naïve Shuffle Algorithm (2007)
blog.codinghorror.com·4d·
Discuss: Hacker News
🎯Bitboards
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News-Technology
scinece-technology799.blogspot.com·6h
⚙Technology
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This Week in UnrealDev.nvim: Major Cache Overhaul & Smarter Builds!
github.com·16h·
Discuss: DEV
🌐WebAssembly
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r/mathematics
reddit.com·3d·
Discuss: r/mathematics
♟Chess Programming
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When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection withPsiloQA
dev.to·18h·
Discuss: DEV
📊Embeddings
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I just launched GoRunner.dev — run Go code right in your browser
reddit.com·6h·
Discuss: r/golang
🔄Tokio
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Migration Case: From Azkaban to DolphinScheduler
dev.to·1d·
Discuss: DEV
🔄Tokio
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Unlocking AI Vision with the Wisdom of Cats: Building Generalizable Models
dev.to·2d·
Discuss: DEV
🤖Machine Learning
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Fisher Meets Lindahl: A Unified Duality Framework for Market Equilibrium
arxiv.org·22h
🔄Tokio
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Understanding the Design of Optimizers with me
dev.to·4d·
Discuss: DEV
🎯Bitboards
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How I Streamed Live Binance L2 Order Book Data on AWS for ~$10/Month
dev.to·15h·
Discuss: DEV
🔄Tokio
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The 10 Best Kubernetes Management Tools using AI for 2026
dev.to·21h·
Discuss: DEV
🔗Distributed Systems
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Unlocking AI's Potential: Beyond the Code, It's All About the Ecosystem
dev.to·20h·
Discuss: DEV
👁️Observability
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Moonshot AI releases Kimi K2 Thinking, an open-source agent model for complex reasoning
alternativeto.net·13h
♟Chess Programming
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<p>**Abstract:** This research introduces a novel system for automated validation of scientific literature, addressing the escalating challenge of verifying res...
freederia.com·23h
💬Natural Language Processing
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TDS Newsletter: The Theory and Practice of Using AI Effectively
towardsdatascience.com·1d
💬Natural Language Processing
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The Self-Organizing AI: Can Machines Learn to 'Feel' Their Way to Success? by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
🤖Machine Learning
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Hemorica: A Comprehensive CT Scan Dataset for Automated Brain Hemorrhage Classification, Segmentation, and Detection
arxiv.org·22h
🤖Machine Learning
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Computed Tomography (CT)-derived Cardiovascular Flow Estimation Using Physics-Informed Neural Networks Improves with Sinogram-based Training: A Simulation Study
arxiv.org·22h
🤖Machine Learning
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