Bayesian spatial survival modelling combines probabilistic time-to-event analysis with spatial correlation structures to improve inference on how risk varies across locations. At its core, the ...

In 2017, Fei Fei Li, Stanford’s renowned computer scientist who is considered the Godmother of AI in the industry, spoke with Melinda Gates in Wired magazine about ‘liberating AI from guys with ...

Computer analysis of geospatial data could be made more environmentally-friendly thanks to a groundbreaking new software model built by a team of scientists from a Scottish university. Researchers ...

A tumor is more than its cancer cells. Immune cells, blood vessels and other surrounding tissue influence how a cancer grows and responds to treatment. Two tumors containing the same cell types can ...

Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the growing effects of global warming. These disaster risks are heightened with ...

Niantic Spatial and Spexi Geospatial have teamed up to provide customers in various industries with standardized, ultra-high-resolution, drone-quality imagery at massive scale over urban areas, ...

For several years, the space-based geospatial intelligence industry has been chasing a logical vision for AI: use it to make our existing systems faster and smarter. Train models to detect objects.

Spatial transcriptomics data analysis increasingly depends on artificial intelligence (AI) to convert raw, location-tagged gene expression readings into a usable map of tissue biology. Unlike ...

Biological systems operate across interconnected spatial and temporal scales, from molecular reactions and intracellular ...

The next stage in the development of AIs is to give them spatial intelligence. Our current, smartest AIs are masters of words. They have been trained on zillions of words. Their education consists of ...