The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use ...

Multimodel inference has emerged as a cornerstone of modern ecological statistics, offering a principled way to address uncertainty in model selection and parameter estimation. Rather than relying on ...

A new study published in Big Earth Data proposes an AI cube framework to enhance geospatial data cube analytics by integrating GeoAI models for large-scale Earth Observation processing. The approach ...