智邦网
据spacedaily2020年1月13日报道，1月13日，雷神公司宣布启动人工智能机器学习技术研发，项目总经费2090万美元，由DARPA组织，雷神BBN技术公司、SRI国际公司、特莱仃科学与图像公司、BAE系统公司等参加。项目名为“范畴抽象机器语言”（CAML），旨在开发通信信息系统和初始学习条件，提出相关建议和策略。CAML聚焦能力意识机器学习采用类似视频游戏的方法，提供一系列选择和目标标识，获取实现目标的最佳方法。
Raytheon tapped for self-evaluating machine learning system
by Ed Adamczyk
Washington DC (UPI) Jan 13, 2020
Raytheon Co. announced on Monday it has begun work on a machine-learning technology allowing machines to teach machines through artificial intelligence use.
The $6 million contract is one of four, valued at a total of $20.9 million, between the U.S. Defense Research Projects Agency and Raytheon BBN Technologies, SRI International, BBN Technologies, Teledyne Scientific & Imaging and BAE Systems.
The new deal calls for development of systems able to communicate information and the conditions of the initial learning, and recommended strategies and situations calling for those strategies.
Known as CAML, or Categorical Abstract Machine Language, it uses a process similar to that in a video game; instead of rules, the system offers a list of choices and identification of a goal. By repeatedly playing the game, the system will learn the best way to achieve the goal.
CAML focuses on competency awareness machine learning, so that a machine, using artificial intelligence, can self-assess its capability and strategy, and express them in a way understandable to humans.
“The CAML system turns tools into partners,” said Ilana Heintz, a principle investigator for CAML at Raytheon. “It will understand the conditions where it makes decisions and communicate the reasons for those decisions.”
The four-year DARPA program will involve three years of research and one year of technology demonstration.