🧮 SMT Solvers

Z3, Constraint Satisfaction, Boolean Satisfiability, Theorem Proving, Mathematical Optimization

Leveraging Copilot to rapidly refactor test automation
blog.scottlogic.com·1d
🔄Language Evolution
Reverse Engineering a Robot Mower’s Fence
hackaday.com·4h
🔓Reverse engineering
Can researchers stop AI making up citations?
nature.com·2d·
Discuss: Hacker News
💻Local LLMs
Introduction to Nyquist and Lisp Programming
manual.audacityteam.org·2d·
Discuss: Hacker News
🔗Lisp
Using Linters to Direct Agents
factory.ai·1d·
Discuss: Hacker News
🔄Language Evolution
pathwaycom/llm-app
github.com·3d
🔄Archive Workflows
Taming LLM Sprawl: Why Enterprises Need an AI Gateway Now
thenewstack.io·1d
🤖AI Curation
Why Task-Based Evaluations Matter
towardsdatascience.com·16h
📏Code Metrics
Metamorphosis in Machines: Unlocking Flexible Representations by Arvind Sundararajan
dev.to·3d·
Discuss: DEV
🌀Brotli Internals
Grasp Like Humans: Learning Generalizable Multi-Fingered Grasping from Human Proprioceptive Sensorimotor Integration
arxiv.org·2h
✋Tactile Computing
A layered architecture for log analysis in complex IT systems
arxiv.org·2h
👁️Observatory Systems
Day 2: Build Task Mastery 📝
dev.to·1d·
Discuss: DEV
🧮Prolog Parsing
Forest fire detection system
hackster.io·17h
⚙️DIY Electronics
Water Demand Forecasting of District Metered Areas through Learned Consumer Representations
arxiv.org·1d
🧠Machine Learning
Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey
arxiv.org·1d
🔍Information Retrieval
Predictive User Intent Modeling for Smart Home Device Orchestration via Bayesian Dynamic Programming
dev.to·12h·
Discuss: DEV
🏠Home Automation
Sparse Sensor Allocation for Inverse Problems of Detecting Sparse Leaking Emission Sources
arxiv.org·2d
🧮Kolmogorov Bounds
Automated Analysis of Metamorphic Rock Textures for Enhanced Resource Prospecting
dev.to·1d·
Discuss: DEV
🏺Computational Archaeology
How I Use AI to Build Real Business Models (Not Just Content)
dev.to·3h·
Discuss: DEV
🌀Brotli Internals
Title: Streamlining Model Tuning with AI: A Guide to Boosting ML Performance
dev.to·3d·
Discuss: DEV
📊Feed Optimization