A Set-to-Set Distance Measure in Hyperbolic Space
arxiv.org·1d
🌀Hyperbolic Geometry
Portable Network Graphics (PNG) Specification (Third Edition)
w3.org·1d·
Discuss: Hacker News
🕸️WebP Analysis
Nedials, Nedians, and some related triangles and some properties
pballew.blogspot.com·16h·
Discuss: www.blogger.com
📊Computational Geometry
Powering Smarter AI with Precision — Image Data Annotation at AkbhcodeAI
dev.to·1d·
Discuss: DEV
🤖Advanced OCR
See the Bigger Picture: Image Feature Engineering for Search & Recs
shaped.ai·2d
📊Learned Metrics
davidchisnall/igk: I got Knuth'd: A compiler for documents
github.com·16h
📝Concrete Syntax
SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds from RGB Images for 2D Classification
arxiv.org·1d
🗂️Vector Databases
Ask HN: Feedback on "QSS" – A Quantized Vector Search Engine in C
news.ycombinator.com·2d·
Discuss: Hacker News
🗂️Vector Databases
Designing for the Eye
nubero.ch·14h·
Discuss: Hacker News
🖋Typography
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·8h
📊Graph Databases
Computer-vision research powers surveillance technology
nature.com·6h·
Discuss: Hacker News
🔎OSINT Techniques
Show HN: TableSprint- Supabase alternative with vibe coding features
tablesprint.com·19h·
Discuss: Hacker News
📲Digitization
UltraSketchLLM: Saliency-Driven Sketching for Ultra-Low Bit LLM Compression
arxiv.org·1d
🗜️LZW Variants
Using Wavelets and Clustering to Predict Odd or Even Numbers: An Overengineered Approach with Pretty (But Confusing) Plots
dev.to·8h·
Discuss: DEV
🧠Machine Learning
Show HN: Requests-Based Google Maps Scraper
apify.com·2h·
Discuss: Hacker News
🔍BitFunnel
Contextualizing SUTRA: Advancements in Multilingual & Efficient LLMs
hackernoon.com·6h
💻Local LLMs
Dual-Hierarchy Labelling: Scaling Up Distance Queries on Dynamic Road Networks
arxiv.org·1d
📏Range Queries
Granular-Ball-Induced Multiple Kernel K-Means
arxiv.org·1d
🌀Differential Geometry
Google/Videoprism
huggingface.co·23h·
Discuss: Hacker News
📊Learned Metrics
Angio-Diff: Learning a Self-Supervised Adversarial Diffusion Model for Angiographic Geometry Generation
arxiv.org·18h
🌀Riemannian Computing