Shaun Waterman
Think tanks typically just write reports, but when it came to studying the use of artificial intelligence to help the Space Force track objects in orbit and warn about possible collisions, the RAND Corp. went one step beyond that.
A team of information scientists at RAND actually built AI tools which Space Force analysts could use to “fight tonight,” team leader Li Ang Zhang told Air & Space Forces Magazine.
“Having this kind of AI solution can really benefit the mission today,” he said, alleviating technology bottlenecks and providing a bridge capability until a delayed modernization program for space domain awareness (SDA) kicks in. Space Force officials seem to agree.
Machine learning AI (AI/ML) is quite different from the generative AI large language models that have captured headlines and public imagination in the last two years, but it is vital to help human analysts sift through and make sense of the huge amount of data coming off of and about the rapidly proliferating number of satellites, especially in low-earth orbit, or LEO, said Rudolph “Reb” Butler, a senior advisor to the Space Force’s Chief Technology and Innovation Officer.
The Space Force is working with its partners to ease the cognitive burden on humans dealing with SDA data through automation, he said at a recent CyberSat event: “There’s a lot of work to be done.”
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