Houston space tech company snags $9.5M contract, sets launch date for lunar mission

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It's a busy time for Houston-based Intuitive Machines, which recently announced the launch date for its historic lunar mission and a new Air Force contract. Photo via intuitivemachines.com

Business at Houston-based space exploration company Intuitive Machines is taking off on two fronts.

First, Intuitive Machines has landed a nearly $9.5 million Air Force contract to develop technology for NASA’s Gateway project, the first space station that will orbit the moon. Specifically, the technology will support a high-powered nuclear fission system that will supply electricity for satellites, bypassing the need for power from solar, battery, or fuel-cell sources.

“As space exploration ventures become more ambitious and diverse, the need for efficient and reliable power sources in space is paramount,” Pete McGrath, vice president of business development at Intuitive Machines, says in a news release. “Developing the ability to expand power sources beyond solar, which requires heavy battery storage, could remove the burden of constantly worrying about a spacecraft’s arrays relative to the sun, and potentially deliver long-term stability for satellites that would otherwise lose power over time.”

Second, Intuitive Machines has set January window for the launch of its IM-1 lunar mission in conjunction with private aerospace company SpaceX. The liftoff is targeted for a multiday window that opens January 12, 2024.

“There are inherent challenges of lunar missions; schedule changes and mission adjustments are a natural consequence of pioneering lunar exploration,” Steve Altemus, co-founder, president, and CEO of Intuitive Machines, says in a news release. “Receiving a launch window and the required approvals to fly is a remarkable achievement, and the schedule adjustment is a small price to pay for making history.”

The IM-1 mission will be the company’s first attempted lunar landing as part of NASA’s commercial payload initiative.

Intuitive Machines went public earlier this year via SPAC. Co-founder Tim Crain shared a bit of the origin story of the company on a recent episode of the Houston Innovators Podcast.


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Rice University announced this month that it plans to introduce a Bachelor of Science in AI in the fall 2025 semester.

The new degree program will be part of the university's department of computer science in the George R. Brown School of Engineering and Computing and is one of only a few like it in the country. It aims to focus on "responsible and interdisciplinary approaches to AI," according to a news release from the university.

“We are in a moment of rapid transformation driven by AI, and Rice is committed to preparing students not just to participate in that future but to shape it responsibly,” Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs, said in the release. “This new major builds on our strengths in computing and education and is a vital part of our broader vision to lead in ethical AI and deliver real-world solutions across health, sustainability and resilient communities.”

John Greiner, an assistant teaching professor of computer science in Rice's online Master of Computer Science program, will serve as the new program's director. Vicente Ordóñez-Román, an associate professor of computer science, was also instrumental in developing and approving the new major.

Until now, Rice students could study AI through elective courses and an advanced degree. The new bachelor's degree program opens up deeper learning opportunities to undergrads by blending traditional engineering and math requirements with other courses on ethics and philosophy as they relate to AI.

“With the major, we’re really setting out a curriculum that makes sense as a whole,” Greiner said in the release. “We are not simply taking a collection of courses that have been created already and putting a new wrapper around them. We’re actually creating a brand new curriculum. Most of the required courses are brand new courses designed for this major.”

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“We have been building expertise in artificial intelligence,” Ordóñez-Román added in the release. “There are people working here on natural language processing, information retrieval systems for machine learning, more theoretical machine learning, quantum machine learning. We have a lot of expertise in these areas, and I think we’re trying to leverage that strength we’re building.”

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