Semiconductor Engineering

Applying Machine Learning To Accelerate TCAD Calibration

TCAD models are the fundamental building blocks for the semiconductor industry. Whether it is a new process node or a new multi-billion dollar fab, accurate TCAD models must be developed and ...
Semiconductor Engineering

Applying Machine Learning to EDA, FPGA Design Automation Tools

A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. “With the recent advances in hardware ...
University of Wyoming

UW’s Kotthoff and Students Co-Publish Book on Applied Machine Learning

In an era when data drives decisions, mastering machine learning has become essential across industries and academia. From making better business decisions to developing advanced materials, machine ...
Dark Reading

Enhancing Incident Response Playbooks With Machine Learning

Every company should have a general incident response plan that establishes an incident response team, designates the members, and outlines its strategy for reacting to any cybersecurity incident. To ...
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...