🔍 MinHash Variants

Locality Sensitive Hashing, Jaccard Similarity, Duplicate Detection, Sketching Algorithms

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From HNSW to Information-Theoretic Binarization: Rethinking the Architecture of Scalable Vector Search
arxiv.org·1d
🗂️Vector Search
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Beyond the Geometric Curse: High-Dimensional N-Gram Hashing for Dense Retrieval
arxiv.org·6h
📐Geometric Hashing
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How Static Analysis Can Expose Personal Data Hidden in Source Code
hackernoon.com·23h
📊Static Analysis
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Variation on Iota
toolofthought.com·3d·
Discuss: Hacker News
🔲Proof Irrelevance
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SignHash: The Future of Contracts
osradar.com·20h
🔗Hash Chains
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Qdrant - Vector Database
qdrant.tech·1d
🗂️Vector Databases
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🎡Beginner-Friendly Guide 'Minimum Pair Removal to Sort Array I' - Problem 3507 (C++, Python, JavaScript)
dev.to·8h·
Discuss: DEV
🔗Topological Sorting
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Redacting Faces, People, Vehicles, and Plates with Amped Replay Assisted Redaction
blog.ampedsoftware.com·20h
🧪Archive Fuzzing
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Free papers, get your free papers here!
esat.kuleuven.be·15h
🔢Reed-Solomon Math
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Issue 508
haskellweekly.news·10m
🔗Functional Compilers
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Fastfetch 2.58 System Information Tool Enhances Linux and macOS Detection
linuxiac.com·1d
🔍eBPF
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ANN v3: 200ms p99 query latency over 100 billion vectors
turbopuffer.com·1d·
Discuss: Hacker News
💨Cache Optimization
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Introducing VulHunt: A High-Level Look at Binary Vulnerability Detection
binarly.io·1d
🔬Binary Analysis
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Prisma 7: Rust-Free Architecture and Performance Gains
infoq.com·2d·
Discuss: Hacker News
🦀Rust Macros
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How to find things (an intro to binary search)
drmaciver.substack.com·2d·
Discuss: Substack
🌳Trie Structures
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Building Modern Databases with the FDAP Stack • Andrew Lamb & Olimpiu Pop
youtube.com·1d
🦀Rusty Databases
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Privacy-Preserving Active Learning for heritage language revitalization programs with zero-trust governance guarantees
dev.to·1d·
Discuss: DEV
💻Local LLMs
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Tools I use
prepend.com·1d
🔌Operating system internals
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Show HN: Link Graph Analysis Tool for Osint Analysts with 70 Transforms
webvetted.com·22h·
Discuss: Hacker News
🌐WARC Forensics
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Don't use cosine similarity carelessly
p.migdal.pl·1d
📐Vector Similarity
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