Maintenance window scheduled to begin at February 14th 2200 est. until 0400 est. February 15th

(e.g. yourname@email.com)

Forgot Password?

    Defense Visual Information Distribution Service Logo

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

    DAHLGREN, VIRGINIA, UNITED STATES

    11.28.2022

    Courtesy Story

    Naval Surface Warfare Center Dahlgren Division

    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

    NEWS INFO

    Date Taken: 11.28.2022
    Date Posted: 12.02.2022 07:40
    Story ID: 434063
    Location: DAHLGREN, VIRGINIA, US

    Web Views: 12
    Downloads: 0

    PUBLIC DOMAIN