Naval Surface Warfare Center Dahlgren Division (NSWCDD) is seeking game-savvy college and university student innovators to develop artificial intelligence (AI) and machine learning (ML) algorithms for the automated scheduling and coordination of simulated directed energy, hypervelocity projectiles and other advanced weapon systems. The goal of the Artificial Intelligence (AI) & Machine Learning (ML) – Innovation Challenge at Dahlgren is to solve a problem in a way that NSWCDD has not yet explored.
Teams consisting of no more than five students each will compete for a total of $75,000 in cash prizes.
During the Innovation Challenge, the teams will use the Joint Cognitive Operational Research Environment (JCORE) the Navy’s in-house wargaming system. JCORE provides a medium-fidelity simulation of fleet-level exercises and bridges the gap between tabletop wargaming and high-fidelity modeling and simulation to provide a repeatable, faster-than-real-time solution.
The challenge consists of two phases. In Phase I, the teams will develop and submit their white paper. Phase I concludes at 4 p.m. on Oct. 31. In order to assist teams in preparing their white papers for Phase I, a virtual panel will be held to answer questions about the Artificial Intelligence (AI) & Machine Learning (ML) – Innovation Challenge at Dahlgren on Friday, Sept. 30 from 1-2:30 p.m. via Microsoft Teams meeting.
The meeting can be accessed via:
Microsoft Teams Attendee Link:
Join live event (microsoft.us)
Audio Only: +1 410-874-6751 United States, Baltimore (Toll), Conference ID: 328 481 251#
Additional information about the challenge can be found at: Challenge.Gov
