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DARPA Taps BAE Systems For Automated Machine Analytics Program

机译:DARPA利用BAE系统进行自动化机器分析程序

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摘要

BAE Systems has received a new deal from DARPA to develop a cloud-based machine analytics as a service tool, the company said Tuesday. “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,” the company wrote in a statement. The program will leverage BAE Systems FAST Labs’ Multi-INT Analytics for Pattern Learning and Exploitation (MAPLE) technology. “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,” the company wrote. “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.”
机译:该公司周二表示,BAE Systems已从DARPA获得一项新协议,以开发基于云的机器分析即服务工具。该公司在一份报告中写道:“这种新技术模型旨在提供旨在利用商业和开源数据(包括卫星图像)的自动化服务,以提供持续的全球态势感知,应对各种挑战,包括异常检测和预测。”声明。该计划将利用BAE Systems FAST Labs的用于模式学习和利用(MAPLE)技术的Multi-INT分析。该公司写道:“我们的技术可以在多个领域中使用,并且可以在云中加以利用,从而使其成为极其灵活且易于扩展的解决方案,为运营商提供了全球范围的警惕。” “我们的目标是以一种新的方式自动化分析,以便我们能够利用令人难以置信的机器学习功能来发现稀疏和大数据量中的细微差别模式,以解决可能威胁到国家安全的极其复杂的问题。”

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  • 来源
    《Defense Daily》 |2020年第22期|6-7|共2页
  • 作者

    Matthew Beinart;

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  • 正文语种 eng
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