NSF award 2620650 · University of Florida

CAREER: Enabling Trustworthy Complex Learning-enabled Autonomy

Final report due

31 May 2030

in 1,320 days · The award ends on 31 January 2030.

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Decide about an extension3 Oct 2029in 1080 days
award ending 2030-01-31 · Research.gov
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Extension request17 Dec 2029in 1155 days
award ending 2030-01-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jan 2030in 1190 days
award ending 2030-01-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due31 May 2030in 1320 days
award ending 2030-01-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due31 May 2030in 1320 days
award ending 2030-01-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out31 May 2030in 1320 days
award ending 2030-01-31 · 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 January 2030.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 31 May 2030.

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Award card

Award number: 2620650
Period of support: 1 Oct 2025 – 31 Jan 2030
Amount: $689,582
Awardee: University of Florida, Gainesville, FL
Program: Software & Hardware Foundation
Directorate: CSE

Abstract

Machine learning (ML) is projected to be essential in future autonomy development. However, ML components such as deep neural networks (DNNs) may react unexpectedly to even tiny input variations. Recent incidents in ML-powered systems, such as Tesla and Uber autonomous vehicles, raise an urgent need for techniques and tools to formally verify the safety and robustness of DNNs before utilizing them in safety-critical…

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