This paper studies the semantics of models for discrete physical phenomena, such as rigid body collisions and switching in electronic circuits. This paper combines generalized functions (specifically ...

In the era of deep learning, audio-visual saliency prediction is still in its infancy due to the complexity of video signals and the continuous correlation in the temporal dimension. Most existing ...

Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

The model will support the simulation analysis of the supply chain network structure evolution and help to carry out in-depth research on the forecast of future trade relations between important ...

To simulate blood flow inside brain aneurysms, researchers from Japan have developed a computational method that combines 4D flow MRI, computational fluid dynamics, and data assimilation, which ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly ...

ROHM has announced the release of new Level 3 (L3) SPICE models that deliver significantly improved convergence and faster simulation performance.

The Nato Modelling and Simulation Centre of Excellence revealed progress on existing projects and future plans involving AI.

Innovation requires information, context, collaboration, experimentation, and even failure. Using simulation to make ...

When ChatGPT or Gemini give what seems to be an expert response to your burning questions, you may not realize how much ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...