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⚙️ Tape Engineering

Magnetic Recording, Bias Optimization, Signal Processing, Transport Mechanics

“Re-geeking” with the Mac and amateur radio ↦
sixcolors.com·1d
💾vintage computing
AI Driving the Adoption of Confidential Computing
darkreading.com·8h
🔒Privacy Preserving
Project SERVFAIL: one year in
sdomi.pl·1d
📡BGP Archaeology
An attacker using a $500 radio setup could potentially trigger train brake failures or derailments from a distance
securityaffairs.com·2d
📻Homebrew Protocols
2025-07-16: Understanding Hallucination in Large Language Models: Challenges and Opportunities
ws-dl.blogspot.com·20h·
Discuss: ws-dl.blogspot.com
✨Effect Handlers
JavaScript Microtasks: A Comprehensive Guide the Event Loop
codedynasty.dev·1d·
Discuss: Hacker News
🌊Stream Processing
'A ticking time bomb': US trains are vulnerable to a simple 13-year-old known security vulnerability - here's what you need to know
techradar.com·2d
🔓Hacking
Least squares and least absolute deviations
niklasbuschmann.github.io·1d·
Discuss: Hacker News
📐Error Bounds
HardView 3.0 — The Best Python Library for Hardware and System Info
dev.to·1d·
Discuss: DEV
🕸️WASM Archives
Astronomers use the colors of trans-Neptunian objects to track an ancient stellar flyby
phys.org·1d·
Discuss: Hacker News
🌈Color Science
Quantitative central limit theorems for exponential random graphs
arxiv.org·2d
🧮Kolmogorov Bounds
Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light
arxiv.org·1d
🔲Cellular Automata
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks
arxiv.org·1d
📊Learned Metrics
GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement Learning
arxiv.org·1d
🔲Cellular Automata
Auditing Facial Emotion Recognition Datasets for Posed Expressions and Racial Bias
arxiv.org·1d
👁️OCR Verification
Women Sport Actions Dataset for Visual Classification Using Small Scale Training Data
arxiv.org·1d
📊Learned Metrics
CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks
arxiv.org·16h
💻Programming languages
A Practical Guide to Anomaly Detection in Python
dev.to·1d·
Discuss: DEV
🧠Machine Learning
AI That Builds AI: The Next Level of Machine Learning
dev.to·7h·
Discuss: DEV
🌍Cultural Algorithms
Ensemble of Weak Spectral Total Variation Learners: a PET-CT Case Study
arxiv.org·3d
🧠Machine Learning
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