Advances in application technology and innovative techniques within the agricultural industry have revolutionized the ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

During the COVID-19 pandemic, Essex County Health Officer Maya Harlow wished she had a crystal ball that could predict where ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

From a practical lens and audience-first perspective, the featured program reveals how modern approaches in geospatial analysis turn information into tangible results for places and people.

Urban gender-based violence (GBV) is not randomly distributed across city space, and new research shows that advanced geospatial machine learning can identify where risks concentrate with striking ...

Abstract: In recent years, geospatial artificial intelligence (GeoAI) has gained traction in the most relevant research works and industrial applications, while also becoming involved in various ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

A first-of-its-kind national study has mapped epilepsy incidence rates among older adults in the United States and identified key social and environmental factors associated with the neurological ...