There is a significant growth in development and utilization of foundation models for geospatial applications. These models are trained on large scale...

The designs and experimentations of foundation models (FMs) have been rising given the availability of growing extensive datasets and advancing comput...

Studies have shown that domain-adapted language models significantly enhance NLP tasks within scientific research. This presentation focuses on explor...

Large language models (LLMs) trained on general domain corpora showed remarkable results on natural language processing (NLP) tasks. However, previous...

Significant advancements in the development of adaptable and reusable artificial intelligence (AI) models will greatly influence Earth science and rem...

Weather Foundation Models in general represent a significant advancement in computational weather prediction by leveraging data-driven techniques to i...

Deep learning-based methods have been widely researched in the areas of language and vision, demonstrating their capacity to understand long sequences...

Deep learning is progressively revolutionizing weather applications by generating highly accurate forecasts with lower computational costs compared to...