The Air Force Life Cycle Management Center has awarded L3Harris Technologies a multi-million dollar contract to develop a software platform that will make it easier for analysts to use artificial intelligence (AI) to identify objects in large data sets.
The U.S. military and intelligence community gathers massive amounts of data from remote sensing systems. Pinpointing relevant data is made easier with the use of algorithms that can identify pre-loaded images of objects. However, in some cases, real images are often unavailable because they are either rare or do not exist, making it difficult to train the algorithms. The L3Harris tool will create sample images that can be used to train search algorithms to identify hard-to-find objects in this data. Along with filling this critical gap for training data required for the algorithms, the tool also addresses the urgent need for automation in the defence industry to analyse large geospatial data sets. Additionally, the software platform will leverage modelling and simulation technology to generate training data.
“L3Harris is a premier provider of modeling and simulation capabilities that provide risk reduction for our customers who rely on advanced geospatial systems and data,” said Ed Zoiss, president, Space and Airborne Systems, L3Harris. “Accelerating the use of AI will help automate analysis of large geospatial data sets so warfighters receive trusted data faster and more efficiently.”