Astronomers have unveiled a machine learning framework that can hunt for gravitational resonances among near-Earth asteroids without the painstaking manual...

In a development that could reshape how autonomous vehicles perceive and protect themselves at the same time, a research team...

In a development that has quietly electrified the general relativity community, a theoretical physicist at the California Institute of Technology...

In a development that promises to accelerate the pace of radio astronomy, a researcher has unveiled a complete, hardware-based data...

Predicting where a spacecraft will be months or years from now is one of the oldest and hardest problems in...

The Milky Way may be finally surrendering one of its best-kept secrets. In a new Bayesian model comparison analysis published...

In the race to build the next generation of hard X-ray telescopes, the difference between a successful mission and a...

As space agencies prepare for a new era of crewed lunar exploration, one of the most demanding computational challenges in...

Researchers in South Korea have developed a particle swarm optimization framework that lets datalink-enabled anti-ship cruise missiles replan target assignments,...

None The use of cone penetration testing to characterize icy lunar regolith represents a thoughtful transfer of terrestrial engineering practice...