How Amazon Search increased ML training twofold using AWS Batch for Amazon SageMaker Training jobs
aws.amazon.com·17h
🤖Automation
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11X Faster ScyllaDB Backup
📄FlatBuffers
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From 30 Minutes to 5: Solving Data Pipeline Deployment Bottlenecks with Git Sparse Checkout
🏗️Cranelift
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Real-time stock volatility prediction with deep learning on a time-series DB
💰TigerBeetle
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Digitizing Spermatogenesis Lineage at Nanoscale Resolution In Tissue-Level Electron Microscopy
arxiv.org·6h
🧬Computational Biology
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.org·2d
🔧Data Engineering
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Switching from GPG to Age
🔒Security
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AWS S3 Vectors at scale: Real performance numbers at 10 million Vectors
🧮Vector Databases
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Automated Cost-Benefit Analysis for Synthetic Biology Gene Synthesis Services
🎭Program Synthesis
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Zensical – A modern static site generator built by the Material for MkDocs team
🗂️Obsidian
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A Security Model for Systemd
🔐Capability Systems
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How to Design Efficient Memory Architectures for Agentic AI Systems
pub.towardsai.net·1d
🧠Memory Models
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[Release] Night Core™ Worker v38 — Open-core framework for verified WebAssembly execution
☁️Cloudflare Workers
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