2025-08-19: Paper Summary: Reproducibility Study on Network Deconvolution
ws-dl.blogspot.com·1d·
Discuss: ws-dl.blogspot.com
📊Learned Metrics
How Evolving RATs Are Redefining Enterprise Security Threats
darkreading.com·3d
🎯Threat Hunting
Why Bother with Markdown? (2020)
idle.nprescott.com·1d·
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📝Concrete Syntax
The scientific method and its application to the science of deep learning
james-simon.github.io·19h·
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🌡️Preservation Physics
Survey Statistics: answers from the BLS
statmodeling.stat.columbia.edu·1d
📇Indexing Strategies
Positron, a New Data Science IDE
posit.co·2d·
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🔩Systems Programming
Show HN: HealthChain – Python framework for healthcare data that doesn't suck
github.com·21h·
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🤖Archive Automation
Two intriguing variants of the AAA algorithm for rational approximation
arxiv.org·3d
📐Error Bounds
Temporal Network Analysis of Microservice Architectural Degradation
arxiv.org·3d
📊Dependency Graphs
Best way to selectively backup “most important” files from Nextcloud & Immich to S3 Glacier?
reddit.com·2d·
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💿Backup Strategies
Euclidean Approach to Green-Wave Theory Applied to Traffic Signal Networks
arxiv.org·2d
📡Network Calculus
Streamline employee training with an intelligent chatbot powered by Amazon Q Business
aws.amazon.com·2d
🖥️Self-hosted Infrastructure
Enhanced Credit Risk Modeling with Hybrid Bayesian Network and Deep Reinforcement Learning
dev.to·3d·
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🧠Machine Learning
Adaptive GMM-Based Anomaly Detection in Time-Series Sensor Data for Predictive Maintenance
dev.to·2d·
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👁️Observatory Systems
Finally! Future SSDs are set to be more energy efficient and more secure thanks to a new set of guidelines
techradar.com·2d
🔒Secure Boot
I Wasted 3 Weeks Building WebRTC When One Component Does It Better
dev.to·19h·
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🌊Streaming Systems
Automated Knowledge Graph Augmentation via Semantic Drift Compensation
dev.to·4d·
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🔍Information Retrieval
EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training
arxiv.org·3d
⚡Cache Coherence
Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Extreme Reasoning Efficiency in Large Language Models
arxiv.org·3d
💻Local LLMs
How I stay immersed with Data science every day?🔎
dev.to·2d·
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🧪Data science