East Asia’s rainiest summer in decades became a brutal test for the next generation of climate models. The question was not ...

Bayesian spatial survival modelling combines probabilistic time-to-event analysis with spatial correlation structures to improve inference on how risk varies across locations. At its core, the ...

Geospatial modeling methods have become an important tool for environmental monitoring, which is used to manage environmental risks and monitor natural disaster threats. The modeling results are an ...

Microsoft Research’s Mirage stores 3D scene data directly in diffusion latent space, cutting GPU memory 55x and generation ...

In spectroscopic analysis, the development of cost-effective handheld infrared spectrometers has revolutionized monitoring ...

For several years, the space-based geospatial intelligence industry has been chasing a logical vision for AI: use it to make our existing systems faster and smarter. Train models to detect objects.