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🧬 Optimization Algorithms

Genetic Algorithms, Simulated Annealing, Operations Research, Metaheuristics

The AI-native nonprofit era is coming
fastcompany.com·23h
📊Data Lineage
How to Make a RAG Application With LangChain4j
foojay.io·2h·
Discuss: r/programming
🌟spark
API Security in IAM: Architecture, Best Practices, and Threat Mitigation
guptadeepak.com·4h·
Discuss: Hacker News
🔐Privacy Engineering
I Needed a Way to Charge Per Use. So I Built Billivio.
billivio.com·9h·
Discuss: DEV
🧊Iceberg Tables
Lessons from scaling PostgreSQL queues to 100k events per second
rudderstack.com·9h·
Discuss: Hacker News
⚙️Database Internals
Distant Writing: Literary Production in the Age of Artificial Intelligence
papers.ssrn.com·15h·
Discuss: Hacker News
🔍AI Detection
Pearson and Google Bring AI to Classrooms: Can L&D Copy That Model?
demodazzle.com·19h·
Discuss: DEV
🤝Collaborative Research
Wrote a blog about using Dapr and mirrord together
metalbear.co·12h
🏛️Lakehouse Architecture
Build Your Personal Monopoly
echonotes.ai·9h·
Discuss: Hacker News
🎲Game Theory
Migrating over 30 lambdas from Serverless Framework with LLMs
intmaker.com·14h·
Discuss: Hacker News
🏗data engineering
Efficient WebSocket Server-Side Processing(4060)
dev.to·19h·
Discuss: DEV
🌊Stream Processing
Efficient WebSocket Server-Side Processing(4445)
dev.to·15h·
Discuss: DEV
⏲️Time Synchronization
The Impact of Prompt Bloat on LLM Output Quality
mlops.community·12h·
Discuss: Hacker News
🔍AI Detection
Which graph motif parameters count?
arxiv.org·19h
🕸️Graph Databases
Simulating Multiple-Layer Loop to Solve Logical Problems
dev.to·17h·
Discuss: DEV
🤖AI
The AI Replaces Labour Myth
aimode.substack.com·4h·
Discuss: Substack
🎮Reinforcement Learning
💻 Beginner’s Guide to Web Hosting: Shared Hosting, VPS, Managed vs. Unmanaged, and More
dev.to·9h·
Discuss: DEV
🗄️Storage Tiering
Everything You Need to Know About the Gemini CLI
dev.to·4h·
Discuss: DEV
📋Tokei
Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models
arxiv.org·19h
📊Approximate Computing
Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification
arxiv.org·19h
🔄Feed Aggregation
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