Time series and spatial modelling encompass statistical and computational frameworks for analysing data that vary over time or across geographic space. Time series approaches characterise temporal ...

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 ...

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

As 5G and artificial intelligence (AI) become true cornerstones of virtual/augmented realities, businesses are beginning to see the emergence of significant and meaningful applications based on these ...

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