🧮 Constraint SMT

Z3 Applications, Satisfiability Modulo Theories, Constraint Programming, Automated Reasoning

Testing Your Knowledge of JavaScript’s Date Class
hackaday.com·6h
✅Format Verification
An emulator test suite for the 286 (github.com)
github.com·19h
🎯Emulation Accuracy
Comparison of MGR, SunView, OpenWindows and X11R6 (2022)
oldvcr.blogspot.com·16h·
Discuss: Hacker News
🕸️WASM Archives
Press Any Key for Bay Area House Party
astralcodexten.com·14h·
Discuss: Hacker News
🖥️Terminal Renaissance
Show HN: Tips for getting great Text2Cypher outputs from LLMs for Graph RAG
blog.kuzudb.com·3d·
Discuss: Hacker News
🕸️Neo4j
Switchboard
switchboard-ai.com·1d·
Discuss: Hacker News
🎙️Whisper
Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow
towardsdatascience.com·3d
📊Learned Metrics
Kotlin only treats the symptoms of null pointers, while Rust cures the disease. That’s one of the main reasons I prefer Rust.
reddit.com·2d·
Discuss: r/rust
🦀Rust Borrowing
A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials
arxiv.org·4h
🧠Machine Learning
MCP: The Simple Protocol to Make AI Actually Useful
dev.to·2h·
Discuss: DEV
🔌Interface Evolution
A Disentangled Representation Learning Framework for Low-altitude Network Coverage Prediction
arxiv.org·4h
🧠Machine Learning
Towards Holistic Surgical Scene Graph
arxiv.org·4h
🕳️Persistent Homology
The Chainsaw Metaphor: AI in software development represents an evolution, not a destructive revolution
dev.to·19h·
Discuss: DEV
🔄Language Evolution
Scalable Climate Data Analysis: Balancing Petascale Fidelity and Computational Cost
arxiv.org·4h
⚡Incremental Computation
ROBAD: Robust Adversary-aware Local-Global Attended Bad Actor Detection Sequential Model
arxiv.org·4h
🎯Threat Hunting
QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation
arxiv.org·4d
✓Automated Theorem Proving
Evaluating Text Style Transfer: A Nine-Language Benchmark for Text Detoxification
arxiv.org·4h
⟷Bidirectional Grammars
HuggingGraph: Understanding the Supply Chain of LLM Ecosystem
arxiv.org·4h
🔗Supply Chain
DENSE: Longitudinal Progress Note Generation with Temporal Modeling of Heterogeneous Clinical Notes Across Hospital Visits
arxiv.org·1d
📈Time Series
Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning
arxiv.org·4h
🧠Machine Learning