Discover how LangChain Sandbox ensures safe Python code execution for AI developers, protecting systems from unverified code risks.

A new class of supply chain attacks named 'slopsquatting' has emerged from the increased use of generative AI tools for coding and the model's tendency to "hallucinate" non-existent package names.

The Python code, now available on CHM's GitHub page as open source software, offers AI enthusiasts and researchers a glimpse into a key moment of computing history.

This project presents an efficient method for classifying pistachio species using Local Binary Patterns (LBP) for feature extraction and machine learning models for classification. The study ...

Optimize code using binary notation Code optimization can be more creative than compilers and instruction-level parallelism. Here are specific ways to optimize code using hardware resources with ...

Aberni, Y., Boubchir, L. and Daachi, B. (2020) Palm Vein Recognition Based on Competitive Coding Scheme Using Multi-Scale Local Binary Pattern with Ant Colony Optimization. Pattern Recognition Letters ...

Local binary pattern (LBP) is sensitive to noise. Local ternary pattern (LTP) partially solves this problem. Both LBP and LTP, however, treat the corrupted image patterns as they are. In view of this, ...