🔍 MIN Hash

Locality Sensitive Hashing, Jaccard Similarity, Duplicate Detection, Document Clustering

Cheat Sheet: Perfect Acquisition (32-bit)
blog.elcomsoft.com·3h
💿DAT Forensics
"Moloch's bargain"?
languagelog.ldc.upenn.edu·21h
🔲Cellular Automata
Math that feels good: creating learning resources for blind students
aimath.org·23h
✋Tactile Computing
GitLab Knowledge Graph
gitlab-org.gitlab.io·16h·
Discuss: Hacker News
🕸️Knowledge Graphs
Trillion-Scale Goldbach Verification on Consumer Hardware -novel Algorithm [pdf]
zenodo.org·3d·
Discuss: Hacker News
🔢Reed-Solomon Math
How different AI engines generate and cite answers
searchengineland.com·2d
🤖AI Curation
Rust is a low-level systems language (not!)
reddit.com·1d·
Discuss: r/rust
🦀Rust Macros
Context Engineering for Coding Agents
hackernoon.com·2d
🌳Incremental Parsing
SatFusion: A Unified Framework for Enhancing Satellite IoT Images via Multi-Temporal and Multi-Source Data Fusion
arxiv.org·3d
📡RSS Extensions
CubicLog – A single-binary logging server with zero-config smart analytics
github.com·3d·
Discuss: Hacker News
📝Log Parsing
Enhanced Parasitic R/L Extraction in Die-Stacked ICs via Adaptive Finite Element Modeling and Bayesian Optimization
dev.to·1d·
Discuss: DEV
⚡Circuit Archaeology
The Custom Conveyor: Building Your Own Iterators
dev.to·2d·
Discuss: DEV
🔄Burrows-Wheeler
Spatial Deconfounder: Interference-Aware Deconfounding for Spatial Causal Inference
arxiv.org·7h
✨Effect Handlers
Cost Efficient Fairness Audit Under Partial Feedback
arxiv.org·6d
🌸Bloom Variants
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·3d·
Discuss: DEV
📊Multi-vector RAG
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·3d·
Discuss: DEV
🔨Compilers
Building an AI Internal Linking Plugin for WordPress
dev.to·2d·
Discuss: DEV
🌀Brotli Internals
New Release of Magic Cloud
github.com·1h·
Discuss: Hacker News
🏠Homelab Automation
Prakriti200: A Questionnaire-Based Dataset of 200 Ayurvedic Prakriti Assessments
arxiv.org·4d
🌀Brotli Internals
LinVideo: A Post-Training Framework towards O(n) Attention in Efficient Video Generation
arxiv.org·3d
🧠Learned Codecs