美国防部联合人工智能中心重点聚焦信息战和网络攻防对抗(英文)

2020-07-23 智邦网

编译 致远

据c4isr网2020年7月22日报道,五角大楼“联合人工智能中心”将重点聚焦一批新计划,包括联合信息战计划。

中心宣布,该计划旨在以两种方式为国防部提供信息优势,一是提高国防部集成商业和政府AI解决方案的能力;二是提高国防部部署高性能AI赋能系统所需基础数据的标准化水平,为支持信息环境中的操作运营提供支持。

中心代理主任兰德·穆尔查达尼7月初介绍说,该计划还包括网络战,即美网络司令部采用的综合网络攻防对抗作战方法。

国防部发现,应采取有效方式处理、分析搜集到的巨量数据。“我们需要的是调整数据技术,使之在网络空间领域切实发挥作用,为我们的业务部门所用

正在推进名为“融合高性能计算、分析和张量的多维异常检测”( MADHAT )的研制项目,为网络突发事件提供检测支持,帮助JAIC提高休息战能力。

该程序旨在探索将网络数据作为更有效地检测敌对威胁详情的手段。

MADHAT已经部署,“高性能计算现代化计划”的分析研究人员正在接受操作使用工具的培训。

该计划通过采用高性能计算技术促进技术开发和作战应用。

中心的其他休息战相关工作包括自然语言处理、文本处理和分析。

Pentagon AI team sets sights on information warfare

About two years after it was created, the Pentagon’s artificial intelligence center is setting its sights on new projects, including one on joint information warfare.

This initiative seeks to deliver an information advantage to the Department of Defense in two ways. The first is improving the DoD’s ability to integrate commercial and government AI solutions. The second is improving the standardization of foundational DoD data needed to field high-performing AI-enabled capabilities to support operations in the information environment, said Lt. Cmdr. Arlo Abrahamson, a spokesman for the Joint Artificial Intelligence Center.

Nand Mulchandani, the JAIC’s acting director, told reporters in early July that this initiative also includes cyber operations — both broad defensive and offensive measures for use by U.S. Cyber Command.

The DoD is discovering that it needs ways to process, analyze and act upon the vast amounts of data it receives.

“As we look at the ability to influence and shape in this environment, we’re going to have to have artificial intelligence and machine-learning tools, specifically for information ops that hit a very broad portfolio,” Gen. Richard Clarke, commander of Special Operations Command, said at the Special Operations Forces Industry Conference in May. “We’re going to have to understand how the adversary is thinking, how the population is thinking, and work in these spaces in time of relevance. If you’re not at speed, you won’t be relevant.

“To make sure the U.S. message and our allies’ and partner message is being heard and it’s resonating. What we need is adapting data tech that will actually work in this space and we can use it for our organization.”

A program in support of network incident detection, called MADHAT — or Multidimensional Anomaly Detection fusing HPC, Analytics, and Tensors — is helping the JAIC develop an information warfare capability. The program allows for the exploration of network data as a way of enabling more effective detection of nuanced adversarial threats, Abrahamson said.

MADHAT has already been deployed, he added, and analysts working on the High Performance Computing Modernization Program are being trained on the tool for operational use. This program accelerates technology development and transitions it into defense capabilities through the application of high-performance computing.

Mulchandani also told reporters that other information warfare-related efforts include using natural language processing, which involve processing and analyzing text.

“NLP and speech-to-text is actually a fairly mature AI technology that can be deployed in production. And that actually is going to be used in reducing information overload,” he said. “So being able to scan vast quantities of open-source information and bring the sort of nuggets and important stuff on the NLPs.”


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