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NASA and Microsoft team up on AI guide to Earth data

Microsoft and NASA have joined forces to develop Earth Copilot, a software tool that uses artificial intelligence and cloud computing to simplify the process of searching and analyzing Earth science data.

The collaboration is part of NASA’s Transform to Open Science Initiative, which aims to make more than 100 petabytes of satellite imagery and other Earth science data more readily available to scientists, educators, policymakers and the general public.

“The vision behind this collaboration was to leverage AI and cloud technologies to bring Earth’s insights to communities that have been underserved, where access to data can lead to tangible improvements,” Minh Nguyen, Cloud Solution Architect at Microsoft, said today in a blog posting about the project. “By enabling users to interact with the data through simple, plain language queries, we’re helping to democratize access to spaceborne information.”

Tyler Bryson, Microsoft’s corporate vice president for U.S. health and public sector industries, said Earth Copilot lets users interact with NASA’s data repository conversationally.

Bryson noted that the sheer scale and complexity of the information gathered for NASA’s Earth Science Data Systems Program can sometimes make finding the right information a daunting task. Earth Copilot doesn’t require users to navigate highly technical interfaces or master the intricacies of geospatial analysis.

“Instead, they can simply ask questions such as ‘What was the impact of Hurricane Ian in Sanibel Island?’ or ‘How did the COVID-19 pandemic affect air quality in the U.S.?’” Bryson said. “AI will then retrieve relevant datasets, making the process seamless and intuitive.”

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How artificial intelligence is taking over the final frontier

Will intelligent AI agents take on the job of capsule communicator in future missions to the moon, Mars and other space destinations?

It could happen, says James Burk, the executive director of the Mars Society.

“One of our advisers did a really deep dive on how the Apollo astronauts interacted with each other and with the CapCom back on Earth, and he came to the insight that the Apollo 17 astronauts were using CapCom almost like an AI bot — because the CapCom knew everything,” Burk said during a panel discussion focusing on the intersection of artificial intelligence and space ventures.

“You can imagine having an AI edge device which could be like a rover following the crew around, walking around the moon or Mars,” he said. “It’s watching them and taking stock of how everyone’s doing.”

This week’s panel was a crossover session presented at Madrona Venture Labs by the Washington Technology Industry Association for Seattle AI Week, and by Space Northwest for Seattle Space Week. “When you think about the kinds of megatrends of our time, two of the big ones are space and AI,” said Mike Doyle, Space Northwest’s president and co-founder.

Putting AI into space adventures isn’t exactly a new idea: The best-known sci-fi example is HAL, the AI who goes psycho in “2001: A Space Odyssey.” There’s also the no-nonsense computer voice in the Star Trek saga, or Marvin the Paranoid Android in “Hitchhiker’s Guide to the Galaxy.”

But the real world isn’t science fiction. Yet.

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Lumen Orbit raises $2.4M to put data centers in space

Bellevue, Wash.-based Lumen Orbit, a startup that’s only about three months old, says that it’s closed a $2.4 million pre-seed investment round to launch its plan to put hundreds of satellites in orbit, with the goal of processing data in space before it’s downloaded to customers on Earth.

The investors include Nebular, Caffeinated Capital, Plug & Play, Everywhere Ventures, Tiny.vc, Sterling Road, Pareto Holdings and Foreword Ventures. There are also more than 20 angel investors, including four Sequoia Scouts investing through the Sequoia Scout Fund. “The round was 3x oversubscribed,” Lumen CEO and co-founder Philip Johnston told GeekWire in an email.

Johnston is a former associate at McKinsey & Co. who also co-founded an e-commerce venture called Opontia. Lumen’s other co-founders are chief technology officer Ezra Feilden, whose resume includes engineering experience at Oxford Space Systems and Airbus Defense and Space; and chief engineer Adi Oltean, who worked as a software engineer at SpaceX’s Starlink facility in Redmond, Wash.

“We started Lumen with the mission of launching a constellation of orbital data centers for in-space edge processing,” Oltean explained in an email. “Essentially, other satellites will send our constellation the raw data they collect. Using our on-board GPUs, we will run AI models of their choosing to extract insights, which we will then downlink for them. This will save bandwidth downlinking large amounts of raw data and associated cost and latency.”

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How satellites and AI work together to monitor the planet

Geospatial data analysis promises to revolutionize the way agriculture, urban planning and disaster relief is done — and thanks to a variety of projects that make use of artificial intelligence, Microsoft and Seattle’s Allen Institute for AI are part of that revolution.

The Allen Institute for AI, also known as AI2, recently rolled out Satlas, a new software platform for exploring global geospatial data generated from satellite imagery. Meanwhile, Microsoft’s AI for Good Lab is working with public and private institutions in Colombia on Project Guacamaya, which uses AI tools to monitor and understand conditions in the Amazon Rainforest.

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How data analysis is done on an orbiting satellite

For the past 10 months, Amazon Web Services has been running data through its cloud-based software platform on what’s arguably the world’s edgiest edge: a satellite in low Earth orbit.

The experiment, revealed today during AWS’ re:Invent conference in Las Vegas, is aimed at demonstrating how on-orbit processing can help satellite operators manage the torrents of imagery and sensor data generated by their spacecraft.

“Using AWS software to perform real-time data analysis onboard an orbiting satellite, and delivering that analysis directly to decision makers via the cloud, is a definite shift in existing approaches to space data management,” Max Peterson, AWS’ vice president of worldwide public sector, said today in a blog posting. “It also helps push the boundaries of what we believe is possible for satellite operations.”

AWS’ experiment was done in partnership with D-Orbit, an Italian-based company that focuses on space logistics and transportation; and with Unibap, a Swedish company that develops AI-enabled automation solutions for space-based as well as terrestrial applications.

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How ‘Big Data’ can help scientists focus the search for E.T.

Could far-off aliens be sending out signals telling us they exist? If so, how would we know where to look? Researchers focusing on the search for extraterrestrial intelligence, or SETI, have laid out a new strategy for focusing their quest.

The strategy applies simple trigonometry to millions of data points, with the aim of seeking out potential interstellar beacons that are synchronized with hard-to-miss astronomical phenomena such as supernovae.

University of Washington astronomer James Davenport and his colleagues lay out the plan in a research paper submitted to the arXiv pre-print server this month. The idea is also the subject of a talk that Davenport’s giving this week at the Breakthrough Discuss conference in California.

“I think the technique is very straightforward. It’s dealing with triangles and ellipses, things that are like high-school geometry, which is sort of my speed,” Davenport told GeekWire half-jokingly. “I like simple shapes and things I can calculate easily.”

The pre-print paper, which hasn’t yet been published in a peer-reviewed journal, draws upon data from the European Space Agency’s Gaia sky-mapping mission. But Davenport said the technique is tailor-made for the terabytes of astronomical data that will be coming from the Vera C. Rubin Observatory nightly when it goes online, a couple of years from now.

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There’s a new name in the location intelligence biz

Thanks to a flood of satellite data and the rise of artificial intelligence tools, the market for location intelligence services is growing — and one of the pioneers in the field is changing its name from Critigen to Locana to reflect that growth.

“What happened was, we had such a successful year with all these new businesses, and we saw this move in the marketplace, and that inspired us to chart out a new vision,” Locana CEO Jeff Haight told GeekWire. “Actually, changing the name of the company was the very last step in this process.”

Locana is officially headquartered in Denver, but Haight and much of his executive team are based in Seattle.

About 50 of Locana’s hundreds of employees live in the Seattle area, with the region’s main office in the Capitol Hill neighborhood. The company third major office is in London, but the workforce is distributed far wider than those three offices.

“We have a lot of clients in the Northeast, so we’ve got a large crew in Boston,” Haight said. In fact, Haight’s favorite explanation of what Locana does draws on the Northeast U.S. market.

“When my kids ask me, ‘Hey, Dad, what is it that you do?’ I tell ’em that we help New York track their snowplows,” he said.

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New centers will enlist software engineers for science

The University of Washington and three other universities have kicked off an effort to beef up the software engineering resources available to researchers, backed by a $40 million commitment from Schmidt Futures.

The philanthropic organization founded by former Google CEO Eric Schmidt and his wife, Wendy Schmidt, announced the establishment of the Virtual Institute for Scientific Software this week. The institute’s four inaugural centers will be housed at UW, the University of Cambridge, Georgia Tech and Johns Hopkins University.

Each of the centers will be awarded $2 million a year for the next five years to bring on software engineers and computational scientists who can help address the increasingly complex, data-centric challenges that face researchers today.

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How a hockey team uses data to shoot for business goals

When it comes to sports data, most people think about RBIs, third-down conversions or shots on goal — but Kendall Tyson, the Seattle Kraken hockey team’s vice president for strategy and business intelligence, has a completely different kind of statistics in mind.

Which videos do you watch on the Kraken’s website? Are you going to the big game on your birthday or anniversary? What kind of wine will you be ordering at Climate Pledge Arena?

“We’re bringing together ticket purchases to hockey games, ticket purchases to concerts, food and beverage data, retail data and membership data across all of the people who come to Climate Pledge Arena — and not just our fans,” Tyson said today at the GeekWire Summit. “We take that information, and we pull it into a database, and we’re creating Customer 360 profiles.”

If you’re partial to a particular video series about the Kraken, you might see a link to the latest installment at the top of your membership email. If it’s your birthday, the Kraken might offer you a deal on a private suite for the game.

And then there’s the wine.

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Space: The final frontier for data security

What will commercial space stations be good for? The application that typically comes up would be their use as space hotels, or maybe zero-gravity research labs and factories.

But space industry veteran Rob Meyerson has a different idea in mind — and in his role as operating partner at C5 Capital USA, he’s able to put some money behind it.

“Looking for new markets is something we’re highly motivated to do,” Meyerson told GeekWire. “Data storage and compute is one market. Cybersecurity is another.”

The possibilities for providing data and security services on the final frontier played a big role in C5 Capital’s decision to lead a $130 million funding round for Texas-based Axiom Space, which is due to send citizen astronauts to the International Space Station next year and could start laying the groundwork for its own space station in 2024.

“We have a lot of data that’s created in space, but how valuable would it be to actually do compute and storage in space?” Meyerson asked. “We’ve been talking with Axiom about that and helping them to form partnerships. How do we use the C5 portfolio in cybersecurity and threat protection to assist Axiom with their supply chain and their partners, to bring the most advanced technologies to that critically important area?”