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

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

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

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

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

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

Foundation models, which are deep-learning models pre-trained on large quantities of unlabeled data, have rapidly risen to prominence in the Earth and...

The use of deep learning for weather and climate analysis is rapidly gaining attention due to its ability to generate swift and precise weather foreca...