NSF award 2606221 · University of Massachusetts Amherst

From Proximal Divergences to Hamilton-Jacobi Regularity: Mathematical Principles for Robust AI Architectures and Inference

Final report due

28 November 2029

in 1,137 days · The award ends on 31 July 2029.

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award ending 2029-07-31 · Research.gov
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Extension request16 Jun 2029in 972 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jul 2029in 1007 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 July 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 2029.

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Award card

Award number: 2606221
Period of support: 15 Aug 2026 – 31 Jul 2029
Amount: $300,000
Awardee: University of Massachusetts Amherst, Amherst, MA
Program: OFFICE OF MULTIDISCIPLINARY AC, APPLIED MATHEMATICS
Directorate: MPS

Abstract

Artificial intelligence systems that generate new images, text, molecules, and scientific data have advanced rapidly, and they are now used across science, engineering, and beyond, from medicine, chemistry, and the physical sciences to finance, manufacturing, and other areas of business and industry. Current AI methods are still only partly understood and can behave unpredictably, often making stability and…

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