NSF award 2513966 · North Carolina State University

Effective Computational Methods for Training of Neural Networks via Exploration-Exploitation-Determination Framework

Final report due

29 December 2028

in 803 days · The award ends on 31 August 2028.

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award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2028in 803 days
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PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2028.

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Award card

Award number: 2513966
Period of support: 1 Sep 2025 – 31 Aug 2028
Amount: $307,266
Awardee: North Carolina State University, Raleigh, NC
Program: COMPUTATIONAL MATHEMATICS
Directorate: MPS

Abstract

This project addresses one of the fundamental challenges in artificial intelligence (AI): training of neural networks (NNs). NNs are a core component of modern AI models and are widely used in numerous applications across science, engineering, and industry. Training refers to a learning process of AI models. It is notoriously challenging due to the nonlinear and nonconvex nature of NNs. The state-of-the-art methods…

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