Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining their accuracy. The approach retains physics-based ...
An AI framework using physics-informed features and Bayesian optimization predicted multiaxial fatigue life across 25 metals, ...
Researchers report that a feature-densities method delivers uncertainty scores comparable to Monte Carlo dropout for a Cramér ...
Scientists found that transfer learning can make the search for new physics in the universe much faster, slashing the need for expensive simulations. Yet the approach can backfire when AI relies too ...
On the same day IEEE Spectrum reported that General Motors had compressed two weeks of aerodynamics analysis into a matter of minutes using AI trained on simulation data, the broader field that made ...
Already registered? Click here now to login! Discover how artificial intelligence and unified Modeling and Simulation (MODSIM) are transforming engineering workflows in the industrial equipment ...
A study in the Journal of Cosmology and Astroparticle Physics explores how a machine-learning strategy known as transfer learning could dramatically reduce the computational cost of searching for new ...
Newswise — A new project called STREAMLINE is using artificial intelligence and supercomputers to solve one of nuclear physics’ hardest challenges — unlocking insights into atomic nuclei, neutron ...
Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations involved. For engineers iterating through hundreds of design variations, that ...
During surgery to correct an abnormal heartbeat, doctors rely on a mix of imaging and inference. Still, many critical details remain hidden. At RIT, artificial intelligence (AI) researchers want to ...
Design engineering is running headfirst into a materials bottleneck. Industries such as automotive, aerospace, electronics, and semiconductors now depend on increasingly complex materials. Yet ...
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Canadian wildfire AI slashes hazard mapping time from months to hours: open-source tool
Wildfire AI hazard mapping: Mila and Natural Resources Canada have released an open-source emulator that reproduces months of ...
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