Outside of tightly controlled environments, most robotic systems still struggle with reliability, generalization and cost. The gap between what we can demonstrate and what we can operate at scale ...

Abstract: Machine learning (ML) has rapidly emerged as a transformative technology in the oil and gas sector, particularly in enhancing the efficiency and accuracy of reservoir simulations, ...

Using the Frontier supercomputer at the Department of Energy's Oak Ridge National Laboratory, researchers from the Georgia ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...