Explainer: How does macOS recognise file types?
eclecticlight.co·17h
🍎Apple Archive
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Structured content and AI: get your publications out better and faster
fontoxml.com·4d
📄Document AI
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Scanned Maker – Make PDFs look scanned, 100% private
scannedmaker.com·22h·
Discuss: Hacker News
📄Document Digitization
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Show HN: Postnix AI – Helps Indie Hackers Get Their Work Seen
postnix.vercel.app·18h·
Discuss: Hacker News
🚀Indie Hacking
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Nisus Writer: Schrödinger’s Word Processor
tidbits.com·6h·
Discuss: Hacker News
🍎Apple Archive
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Show HN: Sempress – 2× better compression for numeric data
sempress.net·2h·
Discuss: Hacker News
⚡Modern Compression
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Unraveling Emotions with Pre-Trained Models
arxiv.org·2d
🧠Learned Codecs
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Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detector
arxiv.org·1d
🤖Advanced OCR
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FinCARE: Financial Causal Analysis with Reasoning and Evidence
arxiv.org·1d
✨Effect Handlers
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Draw high dimensional tensors as a matrix of matrices
blog.ezyang.com·6h·
Discuss: Hacker News
🕸️Tensor Networks
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Transforming Multi-Omics Integration with GANs: Applications in Alzheimer's and Cancer
arxiv.org·1d
🧠Machine Learning
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Comprehensive Research: AI-Powered Software Development Training
dev.to·2d·
Discuss: DEV
✨Effect Handlers
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Hubble: a Model Suite to Advance the Study of LLM Memorization
arxiv.org·2d
💻Local LLMs
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Assessing the Feasibility of Early Cancer Detection Using Routine Laboratory Data: An Evaluation of Machine Learning Approaches on an Imbalanced Dataset
arxiv.org·1d
🧠Machine Learning
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The Oldest (Known) Song Ever
languagelog.ldc.upenn.edu·11h
🎵Music Universality
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How Accurate Is MachineTranslation.com? Read This Before You Trust a Translation
dev.to·1d·
Discuss: DEV
🇨🇳Chinese Computing
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How to Use Frontier Vision LLMs: Qwen3-VL
towardsdatascience.com·5d
👁️Constructive OCR
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ResearchHub AI: Secure Academic Research Assistant with Auth0 for AI Agents
dev.to·1d·
Discuss: DEV
📐Proof Assistants
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Learning Linear Attention in Polynomial Time
arxiv.org·2d
🧠Machine Learning
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A Structured Review and Quantitative Profiling of Public Brain MRI Datasets for Foundation Model Development
arxiv.org·1d
📊Learned Metrics
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