NSF award 2603136 · University of California-San Diego

CISE-ANR: SHF: Small: CHAMELEON: CompreHending And Mitigating Error in AnaLog ImplEmentations of On-Die Neural Networks

Final report due

28 January 2028

in 466 days · The award ends on 30 September 2027.

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Decide about an extension2 Jun 2027in 226 days
award ending 2027-09-30 · Research.gov
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Extension request16 Aug 2027in 301 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2027in 336 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2028in 466 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2028in 466 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2028in 466 days
award ending 2027-09-30 · 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 30 September 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2028.

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Award card

Award number: 2603136
Period of support: 1 Oct 2025 – 30 Sep 2027
Amount: $623,753
Awardee: University of California-San Diego, LA Jolla, CA
Program: Software & Hardware Foundation
Directorate: CSE

Abstract

Considering the widespread deployment of machine-learning hardware in myriads of modern-life applications, ensuring its reliable and safe operation is crucial to advance the national prosperity and welfare and to secure the national defense. While software and/or digital hardware implementations of neural networks currently enjoy the lion’s share of the market, a number of emerging realities are necessitating the…

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