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Grand Challenge: Machine Learning
September 3 – October 15
The Wright Brothers Institute (WBI) and Doolittle Institute (DI) are working in partnership with the Air Force Research Laboratory (AFRL) to sponsor a $1M Air Force Challenge.
Despite advances with specialized software and analysis of building models, technological gaps exist that inhibit the prediction of internal configurations of structures using only external satellite photographs. The current approach requires skilled technicians, specialized software and is time-consuming. Innovation research and development that could automate, through a validated machine learning algorithm, the prediction of internal configurations of the basic structure system, construction materials, structural detailing, and other structural strength features would resolve some of these limitations and would significantly advance DoD capabilities. The Air Force Research Lab (AFRL) seeks partners to develop the methodology used to predict the internal configuration of structures such as buildings by only using external satellite photographs of the building taken from various angles.
This challenge is only open to participants defined as “US Persons.”
Register to join the challenge community on the NSIN Defense Innovation Network (DIN) at Registration Link. To learn more about the AF team and this challenge in the series of challenges, please attend our Zoom Q&A session, Ask Me Anything, scheduled for 9 September 2021 at 11:00 CDT.
We are excited to host this AFRL-sponsored challenge and demonstrate the viability of Machine Learning Prediction of Internal Building Structures. Your contributions will improve our assessments of critical Air Force needed structural information, and we are excited to have you participate.
Robert Lee Sarah Ambriz
Open Innovation Project Manager Operations Manager
Wright Brothers Institute Doolittle Institute
5000 Springfield Street 1140 E. John Sims Pkwy, Ste. 1
Dayton, Ohio 45431 Niceville, FL 32578
(937) 269-6420 (Cell) (850)842-4403 (Office)