Bridging speed and accuracy in radiation therapy QA Led by Professor Fu Jin, the study addresses a critical challenge in ...

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

ARCHER simulates particle transport across the accelerator, patient phantom, and EPID. Key components include the target, primary collimator, flattening filter, ionization chamber, mirror, jaws, HDMLC ...

Understanding the LeRobot Simulation Ecosystem So, you’re curious about what makes LeRobot tick, right? It’s not just ...

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...

Geopolitics, History, and International Relations, Vol. 15, No. 2 (2023), pp. 39-53 (15 pages) Based on an in-depth survey of the literature, the purpose of the paper is to explore urban modeling and ...

Scientists from the University of California, San Francisco (UCSF), have used deep learning techniques to design an approach for generating artificial proteins that can move and change shape much like ...

This article is part of a special insideHPC report that explores trends in machine learning and deep learning. The complete report, available here, covers how businesses are using machine learning and ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

True to Life When healthcare program students in Springfield Technical Community College (STCC) step into a patient room at the SIMS Medical Center, they’re entering a high-tech learning environment ...