A teenage student digging through old NASA data has uncovered a hidden trove of over a million cosmic objects using AI—reshaping what scientists thought they knew about the night sky.
The ice giants remain some of the most interesting places to explore in the solar system. Uranus in particular has drawn a lot of interest lately, especially after the 2022 Decadal Survey from the National Academies named it as the highest priority destination. But as of now, we still don’t have a fully fleshed out and planned mission ready to go for the multiple launch windows in the 2030s.
That might actually be an advantage, though, as a new system coming online might change the overall mission design fundamentally. Starship recently continued its recent string of successful tests, and a new paper presented at the IEEE Aerospace Conference by researchers at MIT looked at how this new, much more capable launch system, could impact the development of the Uranus Orbiter and Probe (UOP) that the Decadal Survey suggested.
Uranus is one of the least explored planets—the last probe to visit it was Voyager 2 during a flyby 40 years ago. Neither it, nor its ice giant cousin Neptune, have ever had an orbiter visit it, nor any consistent mission presence in their system, marking them out as the only two planets that haven’t been studied in detail up close so far.
Precise metrology forms a fundamental basis for advanced science and technology, including bioimaging, semiconductor defects diagnostics, and space telescope observations. However, the sensor technologies used in metrology have so far faced a physical barrier known as the standard quantum limit.
A promising alternative to surpass this limit is the distributed quantum sensor—a technology that links multiple spatially separated sensors into a single, large-scale quantum system, thereby enabling highly precise measurements. To date, efforts have primarily focused on enhancing precision, while the potential for extending this approach to high-resolution imaging has not yet been fully demonstrated.
Dr. Hyang-Tag Lim’s research team at the Center for Quantum Technology, Korea Institute of Science and Technology (KIST), has demonstrated the world’s first ultra-high-resolution distributed quantum sensor network. The study is published in the journal Physical Review Letters.
Two Sydney PhD students have pulled off a remarkable space science feat from Earth—using AI-driven software to correct image blurring in NASA’s James Webb Space Telescope. Their innovation, called AMIGO, fixed distortions in the telescope’s infrared camera, restoring its ultra-sharp vision without the need for a space mission.
Title: The Shaw Prize Lecture in Mathematics 2025: From Shape to Space.
Date: Oct 22, 2025
Speaker: Prof. Kenji FUKAYA
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Researchers have achieved a breakthrough in solar physics by providing the first direct evidence of small-scale torsional Alfvén waves in the sun’s corona—elusive magnetic waves that scientists have been searching for since the 1940s.
The discovery, published in Nature Astronomy, was made using unprecedented observations from the world’s most powerful solar telescope, the U.S. National Science Foundation (NSF) Daniel K. Inouye Solar Telescope in Hawaii.
The findings could finally explain one of the sun’s greatest mysteries—how its outer atmosphere, the corona, reaches temperatures of millions of degrees while its surface is only around 5,500°C.