Advances in high-throughput omic technologies allow for assaying a growing compendium of molecular layers, ranging from genome and epigenome profiling and transcriptomics to proteomics and ...

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 ...

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 ...

Geospatial modeling methods have become an important tool for environmental monitoring, which is used to manage environmental risks and monitor natural disaster threats. The modeling results are an ...

In spectroscopic analysis, the development of cost-effective handheld infrared spectrometers has revolutionized monitoring practices, particularly in industries like agriculture and food production.

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.

Microsoft Research’s Mirage stores 3D scene data directly in diffusion latent space, cutting GPU memory 55x and generation ...