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NSF

Collaborative Research: Gradient-free optimization of matrix functions

Collaborative Research: Gradient-free optimization of matrix functions is a funding opportunity from NSF, closing June 30, 2028.

Funder
NSF
Funding
Grant / contract
Deadline
Jun 30, 2028
(702d left)

Overview

Artificial intelligence models typically reduce to optimization problems: find the best solution according to a problem-specific metric. Sometimes, the nature of the problems means that the standard calculus-based tools cannot be applied. This setting is known as gradient-free optimization, and is particularly…

Collaborative Research: Gradient-free optimization of matrix functions | Go Fund It Now