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🌀 Differential Geometry

Manifold Learning, Riemannian Computing, Curvature Analysis, Geometric Data

Piano scales
hypertexthero.com·5h
🎼Computational Musicology
The Gear You Need to Keep Fit, Rested, and Balanced
wired.com·7h
⬜Minimalism
Quoting Daniel Litt
simonwillison.net·2h
🧮SMT Solvers
You Can Use DuckDuckGo to Remove AI Images From Your Search Results
lifehacker.com·1h·
Discuss: Hacker News
🗜️LZW Variants
Alternative formations can reduce aerodynamic drag of protected rider up to 76%, performance study shows
phys.org·3h
🔐Systems Hardening
AI Sovereignty: The Emperor Has No Clothes
engineeringprompts.substack.com·4h·
Discuss: Substack
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
Enhancing environmental data sharing: Policy brief provides recommendations
phys.org·1h
🏷️Metadata Standards
Domain-randomized deep learning for neuroimage analysis
arxiv.org·13h
🧠Neural Codecs
A Mandelbrot-like Set for Quadratics
pballew.blogspot.com·1d·
Discuss: www.blogger.com
📐Mathematical Art
OpenAI jumps gun on International Math Olympiad gold medal announcement
arstechnica.com·1h
🎯Performance Proofs
RGB Pre-Training Enhanced Unobservable Feature Latent Diffusion Model for Spectral Reconstruction
arxiv.org·3d
🧠Machine Learning
Joint angle model based learning to refine kinematic human pose estimation
arxiv.org·5d
🌀Riemannian Computing
Everyone's racing to build AI tools, what about interaction with AI socially
news.ycombinator.com·8h·
Discuss: Hacker News
🎛️Feed Filtering
Recurrent Neural Networks: A Review
theahura.substack.com·1d·
Discuss: Substack
🧠Machine Learning
VITA: Vision-to-Action Flow Matching Policy
arxiv.org·3d
🔲Cellular Automata
Title: Open vs. Closed Models: Balancing Trade-offs for Enterprise AI Adoption
dev.to·17h·
Discuss: DEV
🔒WASM Capabilities
How AI Detects Cancer in Whole Slide Images
hackernoon.com·4d
🧠Machine Learning
[R] Paper recommendations?
reddit.com·2d·
Discuss: r/MachineLearning
🧠Machine Learning
Building a BLE-Powered Air Quality Dashboard with Grafana
bleuio.com·6h·
Discuss: r/homelab
🏠Home Automation
From Neural Network Frustration to Mathematical Innovation
dev.to·3d·
Discuss: DEV
🧠Machine Learning
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