Boeing and Carnegie Mellon University (CMU) have launched a new Aerospace Data Analytics Lab tasked with applying artificial intelligence (AI) and big data principles to mine insights from the vast body of data generated by the aerospace industry.
"Recent advances in language technologies and machine learning give us every reason to expect that we can gain useful insights from that data," says CMU Language Technologies Institute director Jaime Carbonell. He notes one application of machine learning could yield a process in which CMU and Boeing can ascertain when planes require maintenance and fix problems before they arise.
The new lab is one of several expanding CMU efforts to tap AI's potential, according to CMU computer science dean Andrew Moore. Other applications he cites include robots that clean up hazardous sites and robot arms that can pick up a cup of coffee without spilling.
Moore says the Boeing project seeks to move the industry closer to self-healing aircraft, or the use of "evidence-based predictions of what may not be working right tomorrow, to enable preventive inspection or replacement before a failure, and hence to lower costs of coping with real unscheduled failures and to increase safety."
Moore notes as AI advances, it could provide advice to humans so they can build better models of the world based on new machine-learning algorithms.
From The Washington Post
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