Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...

Dive into Faraday’s Law of Electromagnetic Induction with a practical Python implementation in this first part of our Electrodynamics series. Learn how to simulate and visualize changing magnetic ...

Mobly Android Screen Recorder service for using Python code to screencast the Android devices in Mobly tests (https://github.com/google/mobly). This tool is upgraded ...

Amid a push toward AI agents, with both Anthropic and OpenAI shipping multi-agent tools this week, Anthropic is more than ready to show off some of its more daring AI coding experiments. But as usual ...

Anthropic is working on implementing a fix to bring Claude Code back online. Anthropic is working on implementing a fix to bring Claude Code back online. is a senior editor and author of Notepad, who ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Large language models power everyday tools and reshape modern digital work. Beginner and advanced books together create a complete AI learning journey. Understanding LLMs opens doors in technology, ...