Tag: Artificial Intelligence
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STARPATH GLOBAL Showcases Space–Air–Ground Monitoring Capabilities and Applications for Energy Infrastructure at ADIPEC 2026
ABU DHABI, UAE — ADIPEC 2026, the Abu Dhabi International Petroleum Exhibition and Conference, was held from November 2 to 5, 2026, at ADNEC Centre Abu Dhabi. The event brought together 2,260 exhibiting companies, 30 country pavilions, and more than 1,800 speakers. With discussions spanning energy security, infrastructure resilience, artificial intelligence, digitalization, and investment partnerships,…
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How Satellites and AI Help Deliver Disaster Warnings 72 Hours Ahead
Disaster preparedness starts well before an emergency unfolds. The goal is to get people moving while there is still time to protect lives, crops and property. Every extra day of warning changes what can be saved. Three hours may leave time for evacuation; three days can also allow farmers to harvest crops early, reinforce greenhouses…
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From Sending Data to Delivering Answers: How AI Lets Satellites Process Observations in Orbit
A wildfire breaks out, and a satellite hundreds of kilometers above Earth captures a clear view of the blaze. Under the conventional workflow, the imagery must wait for a ground-station contact window, be downloaded and processed at a data center, and finally reach the incident commander. That process can take days. By then, the fire…
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Orbital Data Centers: What’s Proven, What’s Still a Promise
Orbital data centers have attracted sweeping claims, but the flight evidence remains limited. Three programs help separate demonstrated capabilities from future ambitions: Starcloud’s H100 satellite and rapidly rising valuation, SpaceX’s AI1 satellite concept, and HPE’s Spaceborne Computer, which has flown to the International Space Station on three missions. Here is where the evidence stands as…
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From Server Racks to Constellation-Scale Computing Networks
Launch costs and heat rejection are two of the biggest expenses facing orbital data centers. At the engineering level, the challenge comes down to four interconnected questions: how to power an orbital server rack, remove its waste heat, keep it operating through faults, and schedule workloads when that rack becomes a network of 100 or…
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Orbital Data Centers: The Economics of Moving Computing Into Space
Moving a data center into space sounds like science fiction. But by 2026, a satellite carrying an NVIDIA H100 GPU has already trained an AI model in orbit, and investors have valued the company behind it at $2.3 billion. This article examines the accounting: where revenue comes from, where costs accumulate, and what it would…
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Can Satellites Crash? Software and Updates in Orbit
When an expensive AI server in a ground-based data center develops a bug, engineers can usually reboot it remotely. But put that server in orbit, 400 kilometers above Earth, circling the planet roughly every 90 minutes—and who handles the restart? Difference One: Software Needs Armor If an app crashes on Earth, you can usually just…
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Onboard Intelligence, Space Data Processing in Orbit and Earth Data Processing in Orbit: Which Will Succeed First?
Space computing covers three distinct approaches: satellites that process their own observations, constellations that share computing tasks in orbit, and orbital infrastructure designed to handle workloads originating on Earth. They share a label, but their technical requirements and commercial readiness differ substantially. This lesson maps out the three approaches, making it easier to understand where…
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The In-Orbit Remote Sensing Pipeline
Key Insight An in-orbit processing pipeline essentially takes a ground-based data center apart and fits its functions inside a satellite. Each stage uses the computing hardware best suited to its task: FPGAs for rule-based processing, NPUs for AI inference, and CPUs for scheduling. Models that are “good enough” trade complexity for real-time performance. To assess…
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China’s AI-GeoMapping System Guides 400-Square-Kilometer Gobi Survey
China’s AI-GeoMapping system has guided 400 square kilometers of 1:50,000-scale regional geological mapping in northern Alxa, Inner Mongolia, where fused remote-sensing, aeromagnetic and geochemical data helped field teams identify concealed intrusions, faults beneath sediment cover and new mineral-prospecting clues. The Hohhot Natural Resources Comprehensive Survey Center of the China Geological Survey reported on Sept. 24…