Longer scans boost prediction and cut costs in brain-wide association studies
nature.com·12h
🧠Intelligence Compression
Building a Quiet, Power-Efficient Server Node with Ryzen 9 7900 for My K8s Cluster — Feedback?
reddit.com·14h·
Discuss: r/homelab
🖥️Modern CPU
Amazon S3 Vectors: Cloud storage with native vector support
docs.aws.amazon.com·20h·
Discuss: Hacker News
🗂️Vector Databases
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.org·1d
🧠Machine Learning
Revisiting k-Means: 3 Approaches to Make It Work Better
machinelearningmastery.com·13h
📊Vector Quantization
MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing
arxiv.org·1d
🧮Z3 Solver
A guide on reading PostgreSQL query plans
prateekcodes.dev·3d·
Discuss: Hacker News
🧬PostgreSQL Forensics
maxsim-cpu: Maximising Maxsim Efficiency
mixedbread.com·2d·
Discuss: Hacker News
🌊Streaming Algorithms
What people said about an OpenZFS bug
despairlabs.com·12h·
Discuss: Lobsters, Hacker News
🔒Type Safety
Agent Memory with Spring AI & Redis
dev.to·8h·
Discuss: DEV
⚡Redis Internals
The Ultimate Guide to Lower Your AWS Storage Costs
hackernoon.com·1d
💾Storage Replication
Benchmarking AWS Nova on Log Data: How It Compares to ChatGPT-3.5
bronto.io·1d·
Discuss: Hacker News
📝Log Parsing
Which graph motif parameters count?
arxiv.org·16m
🔗Graph Isomorphism
Robust Route Planning for Sidewalk Delivery Robots
arxiv.org·16m
🔗Topological Sorting
Data Fusion and Aggregation Methods to Develop Composite Indexes for a Sustainable Future
arxiv.org·2d
🧠Query Planners
Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts
arxiv.org·16m
🕸️Algebraic Topology
Cheating? Or the acumen of modern programming? FOSS, "AI", and human conscience
gist.github.com·1h·
Discuss: Hacker News
🔗Concatenative Programming
Machine Learning Fundamentals: decision trees tutorial
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Diffusion Decoding for Peptide De Novo Sequencing
arxiv.org·1d
🧮Kolmogorov Complexity
Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs
arxiv.org·1d
🕸️Neo4j