Data Structures, Complexity Theory, Sorting, Graph Algorithms

How do ‘AI detection’ tools actually work? And are they effective?
theconversation.com·8h
💻Computer science
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Unstable genius: DeepMind cracks a century-old physics mystery with AI
businessinsider.com·20h
💻Computer science
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How to Identify a Prime Number without a Computer
scientificamerican.com·1d·
Discuss: Hacker News
💻Computer science
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💥 Tech Talks Weekly #82
techtalksweekly.io·1d
💻Computer science
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Rust in Android: move fast and fix things
security.googleblog.com·13h·
Low-level programming
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AI Overviews Shouldn’t Be “One Size Fits All”
oreilly.com·18h
Hardware design
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AI Agents, Productivity, and Higher-Order Thinking
papers.ssrn.com·13h·
Discuss: Hacker News
Low-level programming
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Show HN: General Intelligence – Active knowledge framework for machine learning
github.com·2d·
Discuss: Hacker News
Low-level programming
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Robust 'Huber mean' for geometric data protects against noise and outliers
phys.org·16h
💻Computer science
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Announcing BigQuery-managed AI functions for better SQL
cloud.google.com·1d
Low-level programming
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Genomes of 24,000 previously unknown microbes revealed by new tools
phys.org·16h
💻Computer science
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GMTRouter: Personalized LLM Router over Multi-turn User Interactions
arxiv.org·1d
Low-level programming
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Local Path Planning with Dynamic Obstacle Avoidance in Unstructured Environments
arxiv.org·2d
Low-level programming
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GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences
arxiv.org·1d
Low-level programming
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Benchmarking Educational LLMs with Analytics: A Case Study on Gender Bias in Feedback
arxiv.org·2d
💻Computer science
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FoCLIP: A Feature-Space Misalignment Framework for CLIP-Based Image Manipulation and Detection
arxiv.org·3d
💻Computer science
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Format Matters: The Robustness of Multimodal LLMs in Reviewing Evidence from Tables and Charts
arxiv.org·1h
💻Computer science
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The Transformer and the Hash: building blocks of 21st century political science
nothinghuman.substack.com·1d·
Discuss: Substack
💻Computer science
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Capturing Complex Spatial-Temporal Dependencies in Traffic Forecasting: A Self-Attention Approach
arxiv.org·2d
💻Computer science
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