🧠 Learned Indexes

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

SIEVE: Effective Filtered Vector Search with Collection of Indexes
arxiv.org·7h
🗂️Vector Databases
Categorical Features: The Backbone of Search & Recs Engineering
shaped.ai·2d
🧠Learned Indexing
Machine Learning Fundamentals: dimensionality reduction
dev.to·20h·
Discuss: DEV
📐Linear Algebra
Good binding data is all you need
leashbio.substack.com·12h·
Discuss: Substack
🗂️Vector Databases
This “smart coach” helps LLMs switch between text and code
news.mit.edu·7h
💻Local LLMs
Revisiting k-Means: 3 Approaches to Make It Work Better
machinelearningmastery.com·21h
📊Vector Quantization
Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis
arxiv.org·7h
🧮Kolmogorov Complexity
Data Fusion and Aggregation Methods to Develop Composite Indexes for a Sustainable Future
arxiv.org·2d
🧠Query Planners
How I Built a Smarter AI with Neo4j (and Why You Might Want To Too)
dev.to·5h·
Discuss: DEV
🕸️Neo4j
A Minimal DDPM
github.com·1d·
Discuss: Hacker News
🧠Machine Learning
How AI Detects Cancer in Whole Slide Images
hackernoon.com·16h
🧠Machine Learning
Imbalanced Regression Pipeline Recommendation
arxiv.org·7h
⚖️Feed Ranking
ShopSmart AI - Revolutionary E-commerce Search with Algolia MCP Server
dev.to·20h·
Discuss: DEV
👤Search Personalization
Types That Count: Journey across Qualitative and Quantitative Intersection Types
iris.unito.it·2d·
Discuss: Hacker News
🔍Type Inference
Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts
arxiv.org·7h
🕸️Algebraic Topology
IDS with Machine Learning: Simulating Cyberattacks (⚔️ Simulating Attacks. Strengthening Defenses)
dev.to·3h·
Discuss: DEV
🎯Threat Hunting
Finding Order-Preserving Subgraphs
arxiv.org·1d
🕸️Graph Algorithms
The Impact of Prompt Bloat on LLM Output Quality
mlops.community·21m·
Discuss: Hacker News
✨Effect Handlers
From Equal Weights to Smart Weights: OTPO’s Approach to Better LLM Alignment
towardsdatascience.com·1d
🧮Kolmogorov Bounds
Machine Learning Fundamentals: dimensionality reduction example
dev.to·19h·
Discuss: DEV
📐Vector Dimensionality