ST. LOUIS – The U.S. Space Force and the National Geospatial-Intelligence Agency (NGA) signed a memorandum of agreement May 21 aimed at clarifying their roles in delivering space-based intelligence to
ST. LOUIS – The U.S. Space Force and the National Geospatial-Intelligence Agency (NGA) signed a memorandum of agreement May 21 aimed at clarifying their roles in delivering space-based intelligence to
The U.S. military test launched an intercontinental ballistic missile today to showcase the readiness of its nuclear arsenal. The launch of the unarmed Minuteman III intercontinental ballistic missile (ICBM) took
Scientists have discovered a previously unknown strain of microbe after analyzing samples taken from China’s Tiangong space station. The new microbe strain, officially named Niallia tiangongensis, was found in microbial
Legendary NASA flight director, Gene Kranz, now 91 years old, is seen posing with his lifetime achievement award from the American Astronautical Society at his restored console in Apollo mission
6 min read Preparations for Next Moonwalk Simulations Underway (and Underwater) The SWOT satellite is helping scientists size up flood waves on waterways like the Yellowstone River, pictured here in
This is a bonus edition of Space Minds by SpaceNews. This week we’re at the US Geospatial Intelligence Foundation GEOINT Symposium in St. Louis where we’ll post episodes
NASA’s Perseverance rover captured this view of Deimos, the smaller of Mars’ two moons, shining in the sky at 4:27 a.m. local time on March 1, 2025, the 1,433rd Martian
ST. LOUIS – Artificial intelligence combined with human insight promises to transform geospatial intelligence, experts said at the GEOINT Symposium 2025. But it will require standards, data verification and monitoring
NASA’s X-59 quiet supersonic research aircraft is seen during its “aluminum bird” systems testing at Lockheed Martin’s Skunk Works facility in Palmdale, California. The test verified how the aircraft’s hardware
Overview of the proposed methodology. The workflow consists of a local data-centric pipeline including data pre-processing, feature engineering, and uncertainty-aware modeling. The trained model is then deployed on the Kaggle






