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.
Sponsor
University of Illinois - Urbana-Champaign
The grant—running from January 1, 2021 to July 31, 2023—is for a total of $81,296.
Principle Investigators
Paul D. Franzon
Dror Zeev Baron
More Details
This project will use machine learning to address high dimensional optimization problems.