Raytheon working on Competency Aware Machine Learning – UV – Unmanned Vehicles

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Raytheon working on Competency Aware Machine Learning – UV – Unmanned Vehicles


Raytheon has received a $6 million contract from the Defense Advanced Research Projects Agency (DARPA) to developing machine learning technology, the company announced on 13 January.

As part of DARPA’s Competency Aware Machine Learning programme, systems will be able to communicate the abilities they have learned, the conditions under which the abilities were learned, the strategies they recommend and the situations for which those strategies can be used.

The system will learn from a video game like process. Instead of giving the system rules, the researchers will tell the system what choices it has in the game and what the ultimate goal is. By repeatedly playing the game, the system will learn the most effective ways to meet the goal.

The system will explain itself by recording the conditions and strategies it used to come up with successful outcomes.

Once the system has developed these skills, the team will apply it to a simulated search and rescue mission. Users will create the conditions surrounding the mission, while the system will make recommendations and give users information about its competence in those particular conditions. For example, the system might say, ‘In the rain, at night, I can distinguish between a person and an inanimate object with 90 percent accuracy, and I have done this over 1,000 times.’



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