An introduction to program synthesis (Part II) - Automatically generating features for machine learning
🎭Program Synthesis
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Real-time stock volatility prediction with deep learning on a time-series DB
🔬Deep Learning
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How Datadog Built a Custom Database to Ingest Billions of Metrics Per Second
blog.bytebytego.com·1d
🗄️Database Engines
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DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
arxiv.org·1d
🤖Transformers
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Radar Trends to Watch: November 2025
oreilly.com·1d
🎭Program Synthesis
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Optimizing filtered vector queries from tens of seconds to single-digit milliseconds in PostgreSQL
clarvo.ai·7h
🧮Vector Databases
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From logs to insights: The AI breakthrough redefining observability
venturebeat.com·11h
🔭Tracing
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Show HN: I analyzed 44 OSS dev tools revenue model matters more than stars
🌐Open Source
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Replication redefined: How we built a low-latency, multi-tenant data replication platform
datadoghq.com·1d
🤝Paxos
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Why Your AI Agent Keeps Failing in Production (And How to Fix It)
pub.towardsai.net·2d
🤝Paxos
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Hans-Juergen Schoenig: Counting Customers in PostgreSQL
cybertec-postgresql.com·1d
🗄️Database Internals
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MariaDB vs. PostgreSQL: Understanding the Architectural Differences That Matter
🗄️Databases
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News for October 2025
ptreview.sublinear.info·1d
✅Property Testing
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What to Do When Your Credit Risk Model Works Today, but Breaks Six Months Later
towardsdatascience.com·21h
⚡Incremental Computation
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