Christine Thropp
BlackSky Technology has secured a $4.4 million phase two award to provide the Intelligence Advanced Research Projects Activity with a machine learning platform created for a multiyear initiative for space-based imagery analysis.
The company said Thursday its machine learning operations framework will be used to further support IARPA’s Space-based Machine Automated Recognition Technique Program, which was launched to use time-series imagery analytics for broad-area monitoring activities.
The SMART program seeks to enable automated quantitative analysis of space-based imagery, with BlackSky providing machine learning algorithms to identify rising airports, dams, military bases and other heavy construction projects.
“As part of our work, BlackSky created a high-performance MLOps framework that was ultimately selected to perform as the core infrastructure to the entire SMART program,” said Patrick O’Neil, chief innovation officer of BlackSky.
“The MLOps framework will extend BlackSky’s Spectra AI tasking and analytics capabilities and accelerate the development of SMART technologies.”
