Count data modelling occupies a central role in statistical applications across diverse disciplines including epidemiology, econometrics and engineering. Traditionally, the Poisson distribution has ...

Count data modelling comprises a suite of statistical techniques dedicated to analysing non-negative integer-valued observations. Such data often arise in a variety of contexts including epidemiology, ...

The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.

It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...

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The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More One of Google’s latest experimental models, Gemini-Exp-1206, shows the ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

Climate scientists are confronting a hard truth: some of the most widely used models are struggling to keep up with the pace ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...