Risky Bulletin: Russia to designate ERPs as "critical information infrastructure"
news.risky.biz·12h
🏠Homelab Pentesting
Why Names Break Systems
hackaday.com·12h
🌐DNS Security
Oxidizing Fedora 🦀
weeklyrust.substack.com·1d·
Discuss: Substack
🦀Rust Borrowing
Google fixed two Qualcomm bugs that were actively exploited in the wild
securityaffairs.com·8h
📦Container Security
Understanding the Fundamental Elements of Java Applications
dev.to·2d·
Discuss: DEV
🔢Binary Formats
Google's New Genie 3 AI Model Creates Video Game Worlds In Real Time
tech.slashdot.org·16h
🔲Cellular Automata
BrandSpark AI
dev.to·12h·
Discuss: DEV
🌀Brotli Internals
Lobsters Interview with Icefox
lobste.rs·4d·
Discuss: Lobsters
🦀Rust Macros
Side Project Blog: Clear Bench - Tech stack and Backstory
dev.to·22h·
Discuss: DEV
🔩Systems Programming
"Harmless to You, Hurtful to Me!": Investigating the Detection of Toxic Languages Grounded in the Perspective of Youth
arxiv.org·1d
🏛Digital humanities
Spline Shallow Water Moment Equations
arxiv.org·10h
🌀Differential Geometry
Building Smarter Backends: Practical Guides You Can Read Free or Pay What You Want
dev.to·2d·
Discuss: DEV
🌐Web Standards
The Toyota Corolla Of Programming
deprogrammaticaipsum.com·2d·
Discuss: Lobsters, Hacker News, r/programming
🔄Language Evolution
Stakeholder Perspectives on Digital Twin Implementation Challenges in Healthcare: Insights from a Provider Digital Twin Case Study
arxiv.org·1d
📄Document Digitization
AI on the Pulse: Real-Time Health Anomaly Detection with Wearable and Ambient Intelligence
arxiv.org·10h
👁️Observatory Systems
Inside the Tech Stack of dblayer - Go, Next.js 15, Express & Beyond
dev.to·11h·
Discuss: DEV
🗄️Database Internals
Tractable Responsibility Measures for Ontology-Mediated Query Answering
arxiv.org·5d
🧮Kolmogorov Complexity
Building an AI Tokenization Demo: From Workshop to App
dev.to·2d·
Discuss: DEV
🌀Brotli Internals
Politics and math, A Drama in Four Parts
pballew.blogspot.com·2d·
Discuss: www.blogger.com
🔐Soviet Cryptography
Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segm...
arxiv.org·1d
🧠Machine Learning