High Dimensional Inverse Methods for Electronic System Design, Center for Advanced Electronics Through Machine Learning (CAEML) Core Project

NC State University (NCSU) will be using a new algorithm created by the researchers. This algorithm will be used to solve optimization problems.

This project will utilize machine learning to tackle high dimensional optimization issues. Researchers have created a new algorithm to be used by NC State that will be employed to solve these problems. Results from this research will be beneficial for a wide range of applications, from industrial engineering to data analysis.


Principle Investigators

Paul D. Franzon
Dror Zeev Baron

More Details

This project will use machine learning to address high dimensional optimization problems.