faadatachallenge.nianet.orgFAA Data Challenge – An FAA student competition using Artificial Intelligence/Machine Learning to so

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FAA Data Challenge – An FAA student competition using ...
https://faadatachallenge.nianet.org/
2023 Faa data challenge forum - National Institute of Aerospace
https://faadatachallenge.nianet.org/forum-information/
FREQUENTLY ASKED QUESTIONS - FAA Data Challenge
https://faadatachallenge.nianet.org/faq/
Steering Committee - FAA Data Challenge
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Media - FAA Data Challenge - National Institute of Aerospace
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2023 Finalists - FAA Data Challenge
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Abstract Information - FAA Data Challenge
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lve aviation-related problems. Toggle navigation Home Competition Details 2023 Finalists 2023 Forum FAQ News Home Competition Details 2023 Finalists 2023 Forum FAQ NewsSearch for: Toggle sidebarnavigation 2023 FAA Data Challenge Forum June 21-22, 2023 CONGRATULATIONS TO THE 2023 FAA DATA CHALLENGE WINNERS! OVERALL WINNER GEORGIA INSTITUTE OF TECHNOLOGY A Deep Learning Approach Using Social Media Data to Estimate Ground Risk of UAS in Urban Areas” 2Nd PLACE - TIE! DUKE UNIVERSITY An Optimization of Airport Surface Congestion to Minimize Taxi Times” GEORGE MASON UNIVERSITY Proposal for a Modernized Flight Risk Assessment Tool for General Aviation Pre-Flight Planning” Forum Information Finalist Teams university student competition Up to 10 teams will be invited to compete for the $25,000 top prize As a regulator and operator, the Federal Aviation Administration’s (FAA) diverse mission activities collect and generate a tremendous amount of data. This data must be transformed to actionable information and leveraged to the fullest extent possible to enable the FAA’s mission, which is to provide the safest and most efficient aerospace system in the world. To drive efficiency, improve accountability, facilitate innovation, exploit the use of data, and embrace modern analytical techniques. The 2023 FAA Data Challenge focuses on the use of Artificial Intelligence/Machine Learning (AI/ML) and advanced analytics to address aviation-related problems and opportunities. AI/ML is rapidly transforming many industries including aviation. The FAA seeks submissions that will push the boundary and introduce novel approaches to aviation problems as the FAA moves further towards an info-centric National Airspace System (NAS). The advanced analytics and AI/ML proposals should address one of the following categories: Improve Aviation Safety Improve Operational Efficiency of the NAS Contribute to the Drive for Sustainable Aviation Assist with the Rapidly Evolving New and Novel Uses of the NAS Submit an Expression of Interest Submit an Abstract by Feb. 12, 2023 The FAA Data Challenge is managed by the National Institute of Aerospace on behalf of the Federal Aviation Administration. This is not a federal government website. Powered by WordPress Inspiro WordPress Theme by...

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