Space Systems Command Hosts Reverse Industry Event Focused on Artificial Intelligence and Machine Learning Applications and Innovations for Space

Machine Learning


El Segundo, California — El Segundo, Calif. – Space Systems Command (SSC) will focus on artificial intelligence/machine learning (AI/ML) for space May 17-18, 2023 at Microsoft Silicon Valley campus in Mountain View, Calif. We will hold a reverse industry day with

SSC’s AI/ML Reverse Industry Day is one in a series of space capabilities and mission area-themed events to show how AI/ML can improve effectiveness across the U.S. Space Force’s mission areas. focus on educating government and space industry professionals about Areas of focus include communications where AI/ML can help solve space mission sector goals, supported by Space Force investments and future budgets. Matching industry partners with government customers to demonstrate the potential of AI/ML. Enabling opportunities for cooperation between governments, industry, investment banks and venture capitalists.

“We look at artificial intelligence and machine learning as game-changing breakthrough technologies that can truly help ensure our ability to protect and defend the United States, especially in space,” said SSC Innovation & Prototyping. Division Director Col. Joseph J. Ross said. delta.

“What this Reverse Industry Day is going to do is help us find ways to use these technologies more effectively in the Space Force,” Ross said. “A key area where we are already using AI and machine learning is cyber security and space domain awareness. But that just scratches the surface of all the capabilities this technology can offer us. just.”

For example, in the field of space domain awareness, operators and combatants, including Space Force Guardians, need to be able to quickly understand and interpret a large amount of information and data when they own high-value space assets such as satellites. Yes, says Ross. Said. Is that dot a lost satellite? A piece of space junk? Are your enemies getting a little too close to your precious satellite?

Artificial intelligence and machine learning can better inform and clue potential threats to satellites in orbit by blocking out the “noise” faster than humans can. Think carefully about how to protect your system if it is attacked,” said Ross.

AI and machine learning won’t replace humans, but they have the potential to make humans more effective and efficient, he said, facilitating communication across space companies and helping the industry and investors navigate. said Brian Gamble, Industry Engagement Leader for Front Door, an SSC initiative. A labyrinth of government takeovers.

“In fact, it’s the government and the U.S. Space Force that are trying to take advantage of all the great innovations happening in our industrial base,” Ross said.

The two-day event features a variety of keynote speakers and presentations. Panel discussion with SSC, space industry leaders, space and AI/ML technology investors. Tour of Microsoft facilities. One-on-one meetings between government and space industry leaders. For the first time in history, financial institutions and venture capitalists were invited to participate, providing a way to secure his crucial third factor: funding. Already he has over 100 companies and nearly 300 of his professionals registered.

“One of our initial goals is to try to understand what the ‘areas of possibility’ are for AI and machine learning in our various mission areas,” said Gamble.

Unlike traditional SSC industry days where government officials with specific needs meet with industry representatives to conduct market research, Reverse Industry Day focuses on hearing from the industry what is possible. Mr. Ross said there is. The event is also a great opportunity for companies that have never worked with government before to meet SSC officials and have all their questions answered. Over the last year, SSC has hosted more than 10 of these events.

For more information on SSC’s AI/ML Reverse Industry Day and other events, please visit SSC’s Front Door webpage.



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