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Home : Media : News
NAVSEA NEWS
NEWS | Nov. 28, 2022

There’s Still Time! NSWC Dahlgren Division Extends Artificial Intelligence and Machine Learning Innovation Challenge Proposal Deadline

By NSWCDD Corporate Communications

Naval Surface Warfare Center Dahlgren Division (NSWCDD) has good news for college and university students gearing up for the Artificial Intelligence (AI) and Machine Learning (ML) Innovation Challenge at Dahlgren – the proposal deadline in Phase 1 has been extended to Dec. 15.

This will give more time to begin or fine tune their white papers as a part of the proposal. The challenge is to develop AI and ML algorithms and solve a problem in a way that NSWCDD has not yet explored. The prize purse totals $100,000 – 1st place is $50,000, 2nd place is $30,000, and 3rd place is $20,000 – to the winning teams’ respective schools.

NSWCDD is looking for teams of five or less and each school can have multiple teams. Up to 25 teams will be selected to compete in person for Phase 2 at the University of Mary Washington Dahlgren Campus March 2-4, 2023. 

If the thought of writing a paper causes concern, students need not fear.

“Phase 1 is not extremely difficult,” NSWCDD Chief Technology Officer Jennifer Clift assured.

In five single-spaced pages or less, it’s an opportunity for the team to demonstrate the following:

  • Experience in algorithm design, development and application
  • Benefits of participating in the challenge and how each team member plans to use this experience in future academic and/or career endeavors
  • The approach toward designing, developing and training AI/ML algorithms for the purpose of enabling automated engagements or actions when encountering various obstacles
  • Why the team wants to participate in the challenge and why they believe they will develop an AI/ML algorithmic solution that will best meet the objectives

For more information and to submit the paper, visit the Challenge.gov website at https://www.challenge.gov/?challenge=artificial-intelligence-(ai)-and-machine-learning-(ml)-algorithm-development-challenge