Home » Research » Grants » Received three-year NSF research grant on imperative Deep Learning program robustness and evolution as PI

Subscribe

Archives

Categories

Attribution-NonCommercial-ShareAlike 4.0 International

Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license.

Received three-year NSF research grant on imperative Deep Learning program robustness and evolution as PI

I am pleased to announce that I, along with co-PI Anita Raja, have received a three-year standard research grant from the National Science Foundation (NSF) Software & Hardware Foundations (SHF) program as principal investigator (PI) for a project entitled “Practical Analyses and Safe Transformations for Imperative Deep Learning Programs.” The total grant amount is $600K.

The project will facilitate the robustness and automated evolution and maintenance of large, industrial Deep Learning (DL) software systems that use imperative style programming. More information may be found on NSF’s website; stay tuned for more details and funded research opportunities!


2 Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.