Revisiting old style Windows Log Schema Mapping
rainer.gerhards.netยท1d
๐Ÿ“ŠLog Parsers
PowderBot: An automated device for decision-making in crop breeding programs based on DNA extraction from seed powder
sciencedirect.comยท1d
โœจEffect Inference
How to choose the right embedding model for your RAG application? | by Vivedha Elango | Sep, 2025 | Level Up Coding
levelup.gitconnected.comยท1d
๐ŸŽจDomain-Specific Languages
Pointer Tagging in C++: The Art of Packing Bits Into a Pointer
vectrx.substack.comยท2dยท
Discuss: Substack, r/cpp
๐Ÿท๏ธMemory Tagging
Let's look at the structure of Vec<T>
marma.devยท4dยท
๐Ÿ”’Rust Borrowing
Speeding Up NestJS Tests with DB Transactions
medium.comยท1dยท
Discuss: Hacker News
๐ŸงชCompiler Testing
D-FlipFlip circuit model with signals and Dart
dev.toยท3hยท
Discuss: DEV
๐ŸงธToy Compilers
Predictive Atmospheric Dispersion Modeling via Hybrid Gaussian Process-LSTM Networks for Enhanced Air Quality Management
dev.toยท6hยท
Discuss: DEV
๐Ÿ“‹JSON Parsing
GraphMend: Code Transformations for Fixing Graph Breaks in PyTorch 2
arxiv.orgยท1d
๐Ÿš‚Cranelift IR
OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System
arxiv.orgยท1d
๐Ÿท๏ธAttribute Grammars
Why ETL Becomes ELT or Even LET?
dev.toยท1dยท
Discuss: DEV
๐Ÿ“‹Souffle Datalog
Automated High-Throughput Organoid Maturation Scoring via Spatiotemporal Feature Extraction
dev.toยท11hยท
Discuss: DEV
โœจEffect Inference
Training-free Truthfulness Detection via Value Vectors in LLMs
arxiv.orgยท1d
๐Ÿ”ML Language
Adaptive Fast-and-Slow Visual Program Reasoning for Long-Form VideoQA
arxiv.orgยท1d
๐Ÿ—บ๏ธRegion Inference
CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models
arxiv.orgยท1d
๐Ÿ”—Concatenative Theory
Anomaly Detection in Electric Vehicle Charging Stations Using Federated Learning
arxiv.orgยท10h
๐ŸŒฑMinimal ML
CCQA: Generating Question from Solution Can Improve Inference-Time Reasoning in SLMs
arxiv.orgยท10h
๐ŸชœRecursive Descent
Causal Fuzzing for Verifying Machine Unlearning
arxiv.orgยท1d
๐Ÿ”ML Language
GEM-T: Generative Tabular Data via Fitting Moments
arxiv.orgยท1d
๐ŸŒŠEffect Rows