NSF award 2639684 · University of Massachusetts, Dartmouth

Collaborative Research: Memtransistor with Enhanced Functionality Enables Energy-efficient AI Hardware

Final report due

28 January 2029

in 833 days · The award ends on 30 September 2028.

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Decide about an extension2 Jun 2028in 593 days
award ending 2028-09-30 · Research.gov
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Extension request16 Aug 2028in 668 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2028in 703 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2029in 833 days
award ending 2028-09-30 · 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 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2029.

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Award card

Award number: 2639684
Period of support: 1 Sep 2026 – 30 Sep 2028
Amount: $280,939
Awardee: University of Massachusetts, Dartmouth, North Dartmouth, MA
Program: EPMQD: Electronic, Photonic, M
Directorate: ENG

Abstract

Modern artificial intelligence (AI) is inspired by the brain’s cognitive functions but relies on models that differ greatly from biological systems and consume substantial energy during training and inference. According to the Semiconductor Research Corporation, continued scaling of logic devices and increasing model complexity could push machine learning energy consumption beyond global energy production…

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