
Copernical Team
Study find potential benefits in AI–based systems for spotting hard-to-detect space debris

An increasing number of space objects, debris, and satellites in Low Earth Orbit poses a significant threat of collisions during space operations. The situation is currently monitored by radar and radio-telescopes that track space objects, but much of space debris is composed of very small metallic objects that are difficult to detect.
In a study published in IET Radar, Sonar & Navigation, investigators demonstrate the benefits of using deep learning—a form of artificial intelligence—for small space object detection by radar.
Scientists at uOttawa reveal how light behaves in formless solids

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Building bionic jellyfish for ocean exploration

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AI-enabled atomic robotic probe to advance quantum material manufacturing

BlackSky Secures Major Contract to Advance DoD's Moving Target Analysis

BAE Systems and EDF launch MethaneSAT to revolutionize global methane emissions monitoring

As Russian Threats Grow, King Warns U.S. Space Command of American Vulnerabilities

Hera asteroid mission vs. absolutely nothing
