{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/developing-a-series-of-ai-challenges-for-the","title":"Developing a Series of AI Challenges for the United States Department of the Air Force","arxiv_id":"2207.07033","date":"2022-07-14","proceeding":null,"authors":["Vijay Gadepally","Gregory Angelides","Andrei Barbu","Andrew Bowne","Laura J. Brattain","Tamara Broderick","Armando Cabrera","Glenn Carl","Ronisha Carter","Miriam Cha","Emilie Cowen","Jesse Cummings","Bill Freeman","James Glass","Sam Goldberg","Mark Hamilton","Thomas Heldt","Kuan Wei Huang","Phillip Isola","Boris Katz","Jamie Koerner","Yen-Chen Lin","David Mayo","Kyle McAlpin","Taylor Perron","Jean Piou","Hrishikesh M. Rao","Hayley Reynolds","Kaira Samuel","Siddharth Samsi","Morgan Schmidt","Leslie Shing","Olga Simek","Brandon Swenson","Vivienne Sze","Jonathan Taylor","Paul Tylkin","Mark Veillette","Matthew L Weiss","Allan Wollaber","Sophia Yuditskaya","Jeremy Kepner"],"abstract":"Through a series of federal initiatives and orders, the U.S. Government has been making a concerted effort to ensure American leadership in AI. These broad strategy documents have influenced organizations such as the United States Department of the Air Force (DAF). The DAF-MIT AI Accelerator is an initiative between the DAF and MIT to bridge the gap between AI researchers and DAF mission requirements. Several projects supported by the DAF-MIT AI Accelerator are developing public challenge problems that address numerous Federal AI research priorities. These challenges target priorities by making large, AI-ready datasets publicly available, incentivizing open-source solutions, and creating a demand signal for dual use technologies that can stimulate further research. In this article, we describe these public challenges being developed and how their application contributes to scientific advances.","url_abs":"https://arxiv.org/abs/2207.07033v1","url_pdf":"https://arxiv.org/pdf/2207.07033v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"developing-a-series-of-ai-challenges-for-the","repo_url":"https://github.com/iapalm/Spoken-ObjectNet","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[],"methods":[{"method_slug":null,"method_name":"American"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}