📊Executive Summary

The article discusses the transformative impact of AI and machine learning on semiconductor device modeling and parameter extraction. It highlights the challenges faced by traditional modeling approaches due to the increasing complexity of semiconductor architectures, such as Gate-All-Around transistors and wide-bandgap materials. By utilizing AI and ML, companies can significantly reduce the time and steps required for parameter extraction, leading to faster and more accurate modeling processes. This advancement is crucial for semiconductor firms aiming to enhance their design processes and maintain competitiveness in a rapidly evolving market....