Military Embedded Systems

AI algorithms to improve Air Force navigation capabilities


July 13, 2020

Emma Helfrich

Technology Editor

Military Embedded Systems

NEW YORK, N.Y. AI.Reverie, company specializing in synthetic data for improved artificial intelligence (AI), announced that it has won a $1.5 million Phase 2 Small Business Innovation Research (SBIR) contract by AFWERX to build AI algorithms and improve navigation capabilities for the U.S. Air Force.

According to the company, AI.Reverie will be supporting the 7th Bomb Wing at Dyess Air Force Base through their Rapid Capabilities office by leveraging synthetic data to train and improve the accuracy of vision algorithms for navigation.

The use of synthetic data, or computer-generated images, aims to solve the resource barriers associated with real data: the high cost and slow turnaround of hand-labeled photos stalls deployment of vision algorithms needed to save lives.

AI.Reverie's Phase 2 SBIR contract closely follows its co-publication with the IQT Lab CosmiQ Works of a paper highlighting the value of synthetic data to train computer vision algorithms. The research partners also released RarePlanes, the largest open dataset of real and synthetic overhead imagery for academic and commercial use.

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