Keysight Unveils Machine Learning Toolkit to Accelerate Device Modeling and PDK Development

Artificial intelligence/Machine Learning-driven modeling reduces time-to-market for faster Design Technology Co-Optimization ...
IEEE

Machine Learning Applications in Manufacturing—Challenges, Trends, and Future Directions

The emergence of Industry 4.0 (I4.0) has significantly transformed manufacturing landscapes, introducing interconnected, dynamic, and data-rich environments. This article focuses on the application of ...
GitHub

geeknik/waf-bypass-tool

A robust, machine learning-powered tool for detecting and bypassing Web Application Firewalls (WAFs) with functional reinforcement learning, comprehensive testing, and clean architecture. Core ML ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...