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1826199818942283776
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collection |
MIT
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description |
The Department of the Air Force-MIT Artificial Intelligence Accelerator (AIA) announced that Crowdbotics is the first company to successfully leverage the Maneuver Identification Challenge to advance the field of AI. The DAF-MIT AIA Maneuver ID Challenge is an open challenge designed to enable AI coaching and automatic maneuver grading in pilot training.
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first_indexed |
2024-09-23T11:26:31Z
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format |
Article
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id |
mit-1721.1/152297
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institution |
Massachusetts Institute of Technology
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language |
en_US
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last_indexed |
2024-09-23T11:26:31Z
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publishDate |
2023
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publisher |
DAF-MIT AI Accelerator
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record_format |
dspace
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spelling |
mit-1721.1/1522972023-09-29T03:33:57Z First Commercial Company Leverages DAF-MIT Maneuver ID Challenge to Advance AI The Department of the Air Force-MIT Artificial Intelligence Accelerator (AIA) announced that Crowdbotics is the first company to successfully leverage the Maneuver Identification Challenge to advance the field of AI. The DAF-MIT AIA Maneuver ID Challenge is an open challenge designed to enable AI coaching and automatic maneuver grading in pilot training. 2023-09-28T20:29:35Z 2023-09-28T20:29:35Z 2023-01-18 Article https://hdl.handle.net/1721.1/152297 en_US Attribution-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nd/3.0/us/ application/pdf DAF-MIT AI Accelerator
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spellingShingle |
First Commercial Company Leverages DAF-MIT Maneuver ID Challenge to Advance AI
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title |
First Commercial Company Leverages DAF-MIT Maneuver ID Challenge to Advance AI
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title_full |
First Commercial Company Leverages DAF-MIT Maneuver ID Challenge to Advance AI
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title_fullStr |
First Commercial Company Leverages DAF-MIT Maneuver ID Challenge to Advance AI
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title_full_unstemmed |
First Commercial Company Leverages DAF-MIT Maneuver ID Challenge to Advance AI
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title_short |
First Commercial Company Leverages DAF-MIT Maneuver ID Challenge to Advance AI
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title_sort |
first commercial company leverages daf mit maneuver id challenge to advance ai
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url |
https://hdl.handle.net/1721.1/152297
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