Paper: Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning The MFCAD (Machining Feature CAD) dataset is a comprehensive collection of 3D CAD models with labeled ...

Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...

How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to ...

South Korea has taken the bull by the horns, implementing a landmark set of laws requiring companies to clearly label AI content. The 43 articles of law known as the Act on the Development of ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

Music labels filed a new copyright case against Anthropic to address the 'wilful infringement' that they learnt in the first ...

Overview: Programmers prefer Python in AI, data science, and machine learning projects, while JavaScript is useful in web and full-stack development.GitHub and ...

Since ChatGPT made its debut in late 2022, literally dozens of frameworks for building AI agents have emerged. Of them, ...

Discover 7 common Django scaling issues and learn practical solutions to optimize performance, handle high traffic, and scale ...