Advancing AI Challenges for the United States Department of the Air Force

Christian Prothmann, Vijay Gadepally, Jeremy Kepner, Koley Borchard, Luca Carlone +33 more
10/31/2025
cs.AIcs.CYcs.GL

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Abstract

The DAF-MIT AI Accelerator is a collaboration between the United States Department of the Air Force (DAF) and the Massachusetts Institute of Technology (MIT). This program pioneers fundamental advances in artificial intelligence (AI) to expand the competitive advantage of the United States in the defense and civilian sectors. In recent years, AI Accelerator projects have developed and launched public challenge problems aimed at advancing AI research in priority areas. Hallmarks of AI Accelerator challenges include large, publicly available, and AI-ready datasets to stimulate open-source solutions and engage the wider academic and private sector AI ecosystem. This article supplements our previous publication, which introduced AI Accelerator challenges. We provide an update on how ongoing and new challenges have successfully contributed to AI research and applications of AI technologies.

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@article{prothmann2025advancing,
  title  = {Advancing AI Challenges for the United States Department of the Air Force},
  author = {Christian Prothmann and Vijay Gadepally and Jeremy Kepner and Koley Borchard and Luca Carlone and Zachary Folcik and J. Daniel Grith and Michael Houle and Jonathan P. How and Nathan Hughes and Ifueko Igbinedion and Hayden Jananthan and Tejas Jayashankar and Michael Jones and Sertac Karaman and Binoy G. Kurien and Alejandro Lancho and Giovanni Lavezzi and Gary C. F. Lee and Charles E. Leiserson and Richard Linares and Lindsey McEvoy and Peter Michaleas and Chasen Milner and Alex Pentland and Yury Polyanskiy and Jovan Popovich and Jeffrey Price and Tim W. Reid and Stephanie Riley and Siddharth Samsi and Peter Saunders and Olga Simek and Mark S. Veillette and Amir Weiss and Gregory W. Wornell and Daniela Rus and Scott T. Ruppel},
  year   = {2025},
  eprint = {2511.00267},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2511.00267v1}
}

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