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⚗️ Galois Fields

Finite Field Arithmetic, Reed-Solomon Math, Polynomial Codes, Algebraic Coding

What is a password manager and are they safe?
abc.net.au·10h
🎯NTLM Attacks
Leaked data. Continuous glucose monitoring
pentestpartners.com·5h
🔗Data Provenance
How to Deploy KYPO_CRP on OpenStack-YOGA
pixelstech.net·1d
📦Container Security
How to Become Valuable
blog.toast.cafe·17h
⚔️Lean Tactics
A.I. vs. A.I.
nytimes.com·23h
🛡Cybersecurity
Ask HN: Looking for alpha testers for HRAM (asm)
news.ycombinator.com·1d·
Discuss: Hacker News
⚙️Modern Assembly
How to Sign Up for Early Access to Alexa+, Amazon’s More Advanced AI Assistant
lifehacker.com·12h
🎙️Whisper
Build, Learn, Delete, Repeat
ymichael.com·20h·
Discuss: Hacker News
⚔️Lean Tactics
AI-Powered Pipeline Linting: How I Built a GPT Assistant for My CI/CD Workflows
blog.devops.dev·19h
📝Shell Parsing
2025 One-Hertz Challenge: It’s Hexadecimal Unix Time
hackaday.com·14h
💾vintage computing
Open-source SEC EDGAR MCP server
github.com·12h·
Discuss: Hacker News
🔐CBOR
Security Affairs newsletter Round 533 by Pierluigi Paganini – INTERNATIONAL EDITION
securityaffairs.com·1d
🔓Hacking
Bazel and action (non-) determinism
blogsystem5.substack.com·19h·
Discuss: Substack
🔄Reproducible Builds
Architectural Degradation: Definition, Motivations, Measurement and Remediation Approaches
arxiv.org·6h
🏺Format Archaeology
Machine Learning Fundamentals: federated learning
dev.to·19h·
Discuss: DEV
👁️Observatory Systems
Supercharge Your Recruiters: Building AI-Powered Automation in Salesforce with Agentforce
dev.to·10h·
Discuss: DEV
⚡Proof Automation
Gemini cli vs Claude code: Which one should you choose?
dev.to·19h·
Discuss: DEV
🔌Interface Evolution
LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading
arxiv.org·6h
🤝Consensus Algorithms
State Space Models Naturally Produce Traveling Waves, Time Cells, and Scale to Abstract Cognitive Functions
arxiv.org·1d
🔲Cellular Automata
Benchmarking of EEG Analysis Techniques for Parkinson's Disease Diagnosis: A Comparison between Traditional ML Methods and Foundation DL Methods
arxiv.org·1d
🧠Machine Learning
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