Machine-learning analytics from BAE Systems chosen for situational-awareness tools
NewsApril 22, 2020
FARNBOROUGH, U.K. BAE Systems has won a contract with 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 government use that intends to provide an automated service that leverages 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.
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 set of tools that has been used for more than 10 years -- to offer MAPLE as a service (MaaS). Such a MaaS approach would apply automated analytics to a problem, thereby enabling the operator to query the data to answer specific questions about important mission issues at hand while at the same time removing the traditional need to conduct extensive manual analysis.
The goal of this process, according to BAE Systems information, is to automate analytics in a new way and take advantage of the capabilities of machine learning to discover nuanced patterns in both sparse and large data volumes to solve highly complex problems, including those that threaten national security.
