BAE Systems say it aims to develop machine learning analytics as a service – a first-of-its-kind, cloud-based model for the government – that can leverage commercial and open source data to deliver situational awareness for a diverse range of purposes.
BAE Systems was awarded a contract by the U.S. Defense Advanced Research Projects Agency (DARPA) to develop machine learning analytics as a service – a first-of-its-kind, cloud-based model for the government.
“This new technology model seeks to provide an automated service that aims to leverage commercial and open source data, including satellite imagery, to deliver continuous worldwide situational awareness for a diverse range of challenges, including anomaly detection and prediction. As part of DARPA’s Geospatial Cloud Analytics (GCA) program, the BAE Systems FAST Labs research and development team aims to use the company’s Multi-INT Analytics for Pattern Learning & Exploitation (MAPLE) technology – a proven solution with more than 10 years of development – to offer MAPLE as a service (MaaS).
This approach seeks to apply automated analytics to a problem, freeing operators to query the data to answer specific questions about important mission issues at hand while removing the traditional need to conduct extensive manual analysis. For the purposes of this program, the BAE Systems team seeks to apply MaaS to a proposed maritime challenge to automatically and reliably detect vessels that are engaging in illegal fishing.
Our technology can be used across a number of domains and can be leveraged in the cloud, making it an extremely flexible and easily scalable solution that provides operators with worldwide vigilance. Our goal is to automate analytics in a new way so that we can take the incredible capabilities of machine learning to discover nuanced patterns in both sparse and large data volumes to solve extremely complicated problems that could threaten our nation’s security.”