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Claire Monteleoni (Associate Professor, Department of Computer Science), talks about how computer scientists and climate scientists are collaborating to apply machine learning techniques to develop better climate prediction models.
New findings from NASA’s OSIRIS-REx mission suggest that the interior of the asteroid Bennu could be weaker and less dense than its outer layers—like a crème-filled chocolate egg flying though space.
Join this virtual session to meet the IRT directors, hear their plans and learn how you can participate. This virtual session is open to all faculty, staff and students. Registration is required.
The project is called the U.S. National Science Foundation (NSF) AI Institute for Student-AI Teaming.
CU Â鶹ӰԺ has been selected to lead a new multi-university, industry-focused research Center on Pervasive Personalized Intelligence through the National Science Foundation.
During typical summers in the southeastern U.S., streams of visitors travel to Great Smoky Mountains National Park to witness one of nature’s most spectacular displays of light: thousands of male fireflies, all flashing together in near-perfect harmony.
With it, they can perform mechanical load and displacement tests of materials, devices and components that were not possible previously.
The budget proposal comes amid pressure from China, which is investing heavily in emerging technologies
In a new paper, published in Optica, researchers describe a new silicon chip—with no moving parts or electronics—that improves the resolution and scanning speed needed for a lidar system.
CU Â鶹ӰԺ is one of several funded teams in the Subterranean Challenge, a competition launched by the U.S. Defense Advanced Research Projects Agency to stimulate and test ideas around autonomous robot use in difficult underground environments.