Physical AI refers to intelligent systems that can sense, reason, and act inside the physical world. These systems do not remain limited to screens, servers, or digital spaces. Instead, they operate ...
Matteo Paz built a machine-learning program that could spot faint and changing light signals in space. What began as a summer learning project has turned into a scientific discovery. An American high ...
Abstract: Small object detection in drone-captured imagery presents critical challenges across environmental monitoring, urban planning, and disaster management. Current approaches struggle with ...
[August 26, 2025] Code and dataset annotations released. [April 29, 2025] The paper has been accepted by IJCAI 2025. The difficulty of pixel-level annotation has significantly hindered the development ...
AI helped researchers probe the Hubble Space Telescope's archive to find strange celestial objects, including some indescribable by science. When you purchase through links on our site, we may earn an ...
The astronomers behind the new research fed their AI neural network 100 million image cutouts from the Hubble Legacy Archive. These cutouts are tiny—only dozens of pixels wide—yet the AI was able to ...
Abstract: Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and ...
Researchers from Los Alamos National Laboratory have presented a new method for tracking objects, including uncontrolled space debris, entering Earth’s atmosphere, using ground-based seismic sensors ...
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