The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

A new computational tool developed at the University of Haifa is changing how archaeologists document and analyze ancient ...

The random forest machine learning algorithm is often used in spatial datasets with strong predictive performance. However, the random forest algorithm does not acknowledge the correlation structure ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...