Two Laboratory Teams Receive 2020 AI Accelerator Awards
Two teams involving Laboratory staff were recognized with 2020 awards from the Department of the Air Force (DAF)−MIT Artificial Intelligence (AI) Accelerator. Recipients were selected from more than 150 airmen, researchers, faculty, and students from the DAF, the Laboratory, and MIT who are part of...
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| Language: | en_US |
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2022
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| Online Access: | https://hdl.handle.net/1721.1/146347 |
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| collection | MIT |
| description | Two teams involving Laboratory staff were recognized with 2020 awards from the Department of the Air Force (DAF)−MIT Artificial Intelligence (AI) Accelerator. Recipients were selected from more than 150 airmen, researchers, faculty, and students from the DAF, the Laboratory, and MIT who are part of a collaborative effort to accelerate fundamental advances in AI.
The AIA Director's Award, which highlights "excellence and impact with a focus on collaboration across the AIA and with stakeholders," recognized the Earth Intelligence Engine (EIE) project team for "cross-organizational collaboration, curation of novel datasets, visualization of forecasts, and delivery of an innovative challenge problem." The Earth Intelligence Engine (EIE) project targets three research areas — the earth intelligence platform, earth intelligence enhancement, and earth visual models — to build weather and climate resiliency for the U.S. Air Force. Resiliency against hurricanes, wildfires, flooding, sea level rise, and other extreme-weather and climate related threats is critical to protecting USAF resources such as military bases and ensuring mission readiness.
The AIA Challenge Award recognized the Puckboard project team for designing and implementing two community challenge problems focused on aircrew scheduling. Puckboard is a web-based software application for scheduling pilots and loadmasters—personnel responsible for loading and unloading cargo and passengers—to mission and training flights. |
| first_indexed | 2024-09-23T12:50:46Z |
| format | Article |
| id | mit-1721.1/146347 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:50:46Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | mit-1721.1/1463472022-11-11T03:24:50Z Two Laboratory Teams Receive 2020 AI Accelerator Awards AIA MIT Lincoln Laboratory AIA LLSC Artificial Intelligence Two teams involving Laboratory staff were recognized with 2020 awards from the Department of the Air Force (DAF)−MIT Artificial Intelligence (AI) Accelerator. Recipients were selected from more than 150 airmen, researchers, faculty, and students from the DAF, the Laboratory, and MIT who are part of a collaborative effort to accelerate fundamental advances in AI. The AIA Director's Award, which highlights "excellence and impact with a focus on collaboration across the AIA and with stakeholders," recognized the Earth Intelligence Engine (EIE) project team for "cross-organizational collaboration, curation of novel datasets, visualization of forecasts, and delivery of an innovative challenge problem." The Earth Intelligence Engine (EIE) project targets three research areas — the earth intelligence platform, earth intelligence enhancement, and earth visual models — to build weather and climate resiliency for the U.S. Air Force. Resiliency against hurricanes, wildfires, flooding, sea level rise, and other extreme-weather and climate related threats is critical to protecting USAF resources such as military bases and ensuring mission readiness. The AIA Challenge Award recognized the Puckboard project team for designing and implementing two community challenge problems focused on aircrew scheduling. Puckboard is a web-based software application for scheduling pilots and loadmasters—personnel responsible for loading and unloading cargo and passengers—to mission and training flights. 2022-11-10T21:17:47Z 2022-11-10T21:17:47Z 2022-11-10 Article https://hdl.handle.net/1721.1/146347 en_US The Bulletin; Attribution-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nd/3.0/us/ application/pdf |
| spellingShingle | AIA MIT Lincoln Laboratory AIA LLSC Artificial Intelligence Two Laboratory Teams Receive 2020 AI Accelerator Awards |
| title | Two Laboratory Teams Receive 2020 AI Accelerator Awards |
| title_full | Two Laboratory Teams Receive 2020 AI Accelerator Awards |
| title_fullStr | Two Laboratory Teams Receive 2020 AI Accelerator Awards |
| title_full_unstemmed | Two Laboratory Teams Receive 2020 AI Accelerator Awards |
| title_short | Two Laboratory Teams Receive 2020 AI Accelerator Awards |
| title_sort | two laboratory teams receive 2020 ai accelerator awards |
| topic | AIA MIT Lincoln Laboratory AIA LLSC Artificial Intelligence |
| url | https://hdl.handle.net/1721.1/146347 |