Dual-Hierarchy Labelling: Scaling Up Distance Queries on Dynamic Road Networks
arxiv.org·1d
📏Range Queries
Memory Safety in Web Rust System Zero Cost Secure（1750885516953300）
dev.to·1h·
Discuss: DEV
🦀Rust Borrowing
Machine Learning Fundamentals: active learning
dev.to·1d·
Discuss: DEV
🤖Grammar Induction
Computing Betti tables and minimal presentations of zero-dimensional persistent homology
arxiv.org·1d
🕸️Algebraic Topology
Cost-Effective Optimization and Implementation of the CRT-Paillier Decryption Algorithm for Enhanced Performance
arxiv.org·1d
🔢Bitwise Algorithms
Show HN: I built a cloud on my own ASN w real 1:1 compute to fight the cartels
infuze.cloud·3h·
Discuss: Hacker News
🖥️Self-hosted Infrastructure
Azure SQL Managed Instance Storage Is Regularly as Slow as 60 Seconds
kendralittle.com·20h·
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📝Database WAL
Autonomous E-commerce Intelligence Agent - From Data to Decisions
dev.to·4h·
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📊Feed Optimization
Machine Learning Fundamentals: accuracy with python
dev.to·1d·
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👁️Observatory Systems
Waiting for SQL:202y: Vectors
peter.eisentraut.org·1d·
Discuss: Lobsters, Hacker News, r/programming
🗃️Database Storage
Alto: Orchestrating Distributed Compound AI Systems with Nested Ancestry
arxiv.org·2d
🌀Brotli Internals
Exploring Modern Warehousing and Data Mining
dev.to·15h·
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🧬PostgreSQL Forensics
Perfect phylogenies via the Minimum Uncovering Branching problem: efficiently solvable cases
arxiv.org·1d
🧮Kolmogorov Complexity
Hong Mong 5 Development Treasure Case Sharing Buried Point Development Real Battle Guide
dev.to·33m·
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🔗Data Provenance
Speculative Optimizations for WebAssembly using Deopts and Inlining
v8.dev·1d·
Discuss: Hacker News, r/javascript, r/webdev
🦀Rust Macros
Understanding Sorting Algorithms: From Basics to Advanced Concepts
dev.to·1d·
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🌳Trie Structures
Flame Graph Performance Truth Analysis（1750839255230100）
dev.to·13h·
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⚡Performance Tools
A Principled Approach to Randomized Selection under Uncertainty
arxiv.org·18h
🌸Bloom Variants
Recursion and Dynamic Programming: Solving Problems Efficiently
dev.to·1d·
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🎯Performance Proofs
◼️46/100 Block-by-Block: How Ponder optimized its data indexing workflow
dev.to·1d·
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🌊Stream Processing