ML-assisted Data Structures, Neural Networks, B-tree Replacement, Database Optimization

Learning languages with the help of algorithms
johndcook.com·1d·
Discuss: Hacker News
🧮Kolmogorov Complexity
Supporting our AI overlords: Redesigning data systems to be Agent-first
muratbuffalo.blogspot.com·1d·
🗄️Database Internals
Deep Lookup Network
arxiv.org·22h
🧮Vector Embeddings
2025-09-17: Classic Machine Learning Models and XAI Methods
ws-dl.blogspot.com·1d·
🧠Machine Learning
How I hacked the Placement portal of my college to leak the entire SQL database
infosecwriteups.com·19h
🗄️Database Internals
Authorizing access to data with RAG implementations
aws.amazon.com·3h
🔐Capability Systems
A Hands-On Introduction to cuML for GPU-Accelerated Machine Learning Workflows
machinelearningmastery.com·14h
🌊Streaming Algorithms
Language Models Wrestle with Gaps in Understanding
cacm.acm.org·10h
💻Local LLMs
Building tenets: Intelligent context aggregation for AI pair programming
jddunn.github.io·10h·
Discuss: Hacker News
🌀Brotli Internals
BM25F from scratch
softwaredoug.com·1d
🔍Information Retrieval
A Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs
arxiv.org·1d
🕸️Graph Embeddings
Deep Lookup Networks: The Surprisingly Simple Architecture Revolutionizing Recommendation Systems
dev.to·9h·
Discuss: DEV
🌀Hyperbolic Geometry
ZTree: A Subgroup Identification Based Decision Tree Learning Framework
arxiv.org·1d
🌳Huffman Trees
AI Solves the Algorithmic Conundrum: Adaptive Heuristics for Any Problem by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
Incremental Computation
Tractability Frontiers of the Shapley Value for Aggregate Conjunctive Queries
arxiv.org·22h
🧠Query Planners
RAG Explained: Understanding Embeddings, Similarity, and Retrieval
towardsdatascience.com·1d
📊Multi-vector RAG
SQL Rewriting vs. Indexing: How AI-Powered Structural Optimization Achieves 20x Scalability Gains
dev.to·1d·
Discuss: DEV
🚀Query Optimization
Elasticsearch Was Never a Database
paradedb.com·1d·
🗄️Database Internals