Mexico is building the Coatlicue supercomputer to deliver sharper weather forecasts, earlier storm warnings and support artificial intelligence research.

Abstract: Generating continuous models from sparse measurements remains a key challenge in remote sensing due to the limited availability and high cost of dense data collection. Traditional ...

Jeff Galloway, who died last week at the age of 80, was one of the most important figures in the history of American distance running Illustration: Dan Goldfarb / The Athletic; David Madison / Getty ...

In precision agriculture (PA), the evaluation of soil spatial variability to optimize crop management requires dense sampling. This costly activity often results in sparser sampling grids and may ...

Thank you for open-sourcing such a solid and impressive piece of work — it has been extremely helpful for our research. I have a question regarding the deployment of your model on real robots. As ...

Abstract: Seismic data interpolation is an important processing method for improving the quality of seismic data. Traditional interpolation methods often face limitations due to their dependence on ...

In case we have a series that ends (or starts) with null values, both linear and nearest interpolation will not be able to fill these values. There could be a new interpolation named "nearest non-null ...

Computational fluid dynamics (CFD) has become an integral part of engineering decision-making, providing a deeper understanding of how fluids behave in various scenarios, from the high skies in ...

Video frame interpolation (VFI) is an open problem in generative video research. The challenge is to generate intermediate frames between two existing frames in a video sequence. Click to play. The ...

ABSTRACT: The National Oceanic and Atmospheric Administration reports a 95% decline in the oldest Arctic ice over the last 33 years [1], while the National Aeronautics and Space Administration states ...