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

The PALLAS simulation framework is a Geant4-based toolkit for modeling plasma-accelerated particle beams. It integrates traditional Monte Carlo methods with machine learning-based ONNX beam generation ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

Implementing novel management practices in dairy farming, one of the commonwealth's major agricultural industries, could help ...

An AI-powered model developed at the University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% ...

The field of infectious disease epidemiology is continually challenged by the emergence and re-emergence of pathogens, which can have profound societal, ...

Precision Simulation's FEATool Multiphysics v. 1.18 provides one-click export functionality and automatic conversion of ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Researchers in Taiwan demonstrate that installing solar panels above clam ponds can simultaneously support aquaculture and renewable energy under increasing climate stress. Using real-world farm data, ...

Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.

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

Harshith Kumar Pedarla explores using GANs to simulate network attacks. Synthetic data augmentation improves detection scores ...