BAE Systems Wins DARPA Contract to Develop Machine Learning Analytics as a Service for Constant Global Situational Awareness
April 23, 2020 | BAE SystemsEstimated reading time: 1 minute
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.
Research on the GCA program leverages BAE Systems’ machine learning and artificial intelligence capabilities such as adaptive reasoning and analysis in its autonomy technology. The GCA program is one of several fields BAE Systems is researching, including current work on DARPA’s Hallmark Tools, Capabilities, and Evaluation Methodology program, and represents several years of research on various other programs with DARPA as well as the Air Force Research Lab.
Suggested Items
Shane Whiteside of Summit Reflects on Today's PCB Landscape
05/08/2024 | I-Connect007 Editorial TeamSummit Interconnect began as a printed circuit board manufacturing company just eight years ago and has seen impressive growth organically and through acquisition. Summit President and CEO Shane Whiteside takes a few moments to share his thoughts on the growing PCB industry in the United States.
BAE Systems and Eaton Expand Collaboration to Deliver Electric Drive Solutions for Heavy-Duty Trucks
05/08/2024 | PRNewswireBAE Systems, a leader in electric propulsion, and Eaton, a global power management company, are expanding their collaboration to include electric vehicle (EV) solutions for heavy-duty trucks.
Coherix Partners with EMU on 'Factory of the Future' Technology Program
05/08/2024 | PRNewswireMichigan-based Coherix is working with Eastern Michigan University (EMU) in Ypsilanti to develop "factory-of-the-future" manufacturing and assembly technology.
2024 Apple iPad Pro Estimated to Ship Between 4.5 to 5 Million Units
05/08/2024 | TrendForceApple’s recent product launch in May introduced a lineup of new tablets featuring advanced AMOLED screens. Notably, the Pro version boasts a dual-layer tandem structure designed to address the longstanding challenges of screen burn-in and lifespan that are common with AMOLED displays.
Simbe Partners with Plexus to Scale Manufacturing and Meet Global Retail Demand
05/08/2024 | Globe NewswireSimbe, the leading provider of Store Intelligence™ solutions that increase retailer performance through unprecedented visibility and insights, today announced a partnership with Plexus Corp. to bring its best-in-class retail robotics-as-a-service to market quickly and at global scale.