Earth embedding models transform Earth observation data into embeddings uniquely tied to locations on the Earth's surface. These models are typically evaluated in isolation, comparing the downstream t...

Earth embedding models transform Earth observation data into embeddings uniquely tied to locations on the Earth's surface. These models are typically evaluated in isolation, comparing the downstream t...

Multimodal artificial intelligence (AI) integrates diverse types of data via machine learning to improve understanding, prediction, and decision-making across disciplines such as healthcare, science, ...

Nature Machine Intelligence - Multimodal AI combines different types of data to improve decision-making in fields such as healthcare and engineering, but work so far has focused on vision and...

Multimodal AI combines different types of data to improve decision-making in fields such as healthcare and engineering, but work so far has focused on vision and language models. To make these systems...

LLM metadata harvester. Contribute to LTER-LIFE/llm-metadata-harvester development by creating an account on GitHub.

Large, open datasets can accelerate ecological research, particularly by enabling researchers to develop new insights by reusing datasets from multiple sources. However, to find the most suitable datasets to combine and integrate, researchers must navigate diverse...

In our new paper, published in Ecological Solutions and Evidence, we provided a perspective on how three areas of science – remote sensing, citizen science, and machine learning (a form of AI) – could...

Past Landscapes, Present Discoveries: A Data Science Approach to Rediscovering Field Systems from Historic Ordnance Survey Maps