Transforming Spacecraft Production by NEC's AI technology, System Invariant Analysis Technology [2:56]

Transforming Spacecraft Production by NEC's AI Technology,
System Invariant Analysis Technology

By 2024, the spacecraft Orion, developed by Lockheed Martin, will bring humans to the Moon in the NASA's Artemis program.
System Invariant Analysis Technology, one of NEC Corporation's AI technologies will perform intricate checks to ensure the spacecraft is tested and operating properly during the production phase.

Kevin Woodward
Sr. Manager AI Machine Learning
Lockheed Martin Space:
Right now, our focus has been on the assembly test launch operations, and some of that includes the space environment tests where we can analyze how that spacecraft will function in the environment. This generates a vast amount of data.
And so we apply SIAT(System Invariant Analysis Technology) in analyzing all of that data.

These are very complex systems that we're working with and SIAT enables us to be able to quickly analyze, quickly understand the relationship, how every subsystem works, one to another, how even the components operate, and how they interact with another. It gives us this wonderful, holistic view of this system and an understanding that we have not been able to analyze or view in this way in the past.

If you were to ask a human to do that same task, one person, it would take them 240 years.
SIAT does very quickly, say within an hour.

Dr. Steve Jolly
Chief Engineer for Commercial Civil Space
Lockheed Martin Space:
SIAT is providing ways to assist human engineers in determining if the behavior was proper or not of really critical to crew safety and to the operation of a vehicle.

Every disaster that has occurred in aerospace and in spacecraft has been with missed data. We see that as a core mission because there is a crew life at stake here.

Mr. Kevin Woodward:
There's a great portfolio of AI capabilities that NEC has developed.
And I'll also mention that NEC has a great understanding of the environment in which we operate since they too operate in a space environment.

We are with AI today where we were with electricity about 100 years ago, so we're just scratching the surface.
And so our goal here is to be able to help provide that type of insight through AI machine learning. I think another important element is as we analyze computer logs, as we consider, maybe it's application to cyber and cyber becomes an increasingly important part of our mission. This is another opportunity for the future for us to consider. And again, another opportunity for us as we look to our partners at NEC to pursue this new realm.

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