Time series and spatial modelling encompass a wide array of statistical and computational techniques aimed at deciphering complex temporal trends and spatial dependencies within diverse natural and ...

The return of the grey wolf (Canis lupus) to Germany, which began 23 years ago in the region of Lusatia in Eastern Germany, is a process of great ecological and social significance. Therefore, a ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream tasks, have transformed natural language processing and multimodal AI. However, ...

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 ...

As 5G and artificial intelligence (AI) become true cornerstones of virtual/augmented realities, businesses are beginning to see the emergence of significant and meaningful applications based on these ...

Integrating cancer risk reduction into primary care: A resident-led tobacco cessation quality improvement project. This is an ASCO Meeting Abstract from the 2025 ASCO Quality Care Symposium. This ...

The South Korean spatial biology company unveils new AI agents, foundation models, and spatial biomarkers for oncology drug discovery. SEOUL, South Korea, April ...

Niantic Spatial's latest product launches enhance what's possible with "machine-readable" data for AI's world mapping.

Jasmine Plummer shares the spatial omics techniques she has developed to investigate the cellular processes underlying ...

The safe disposal of radioactive waste over extended timescales presents a critical scientific and engineering challenge.