Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Stochastic analysis and modelling encapsulate a rich field that combines rigorous probability theory with analytical tools to capture and forecast the behaviour of systems influenced by inherent ...

Global weather models form the foundation of much of the available solar irradiance and power forecasting, and are typically sourced from publicly funded weather agencies, including the European ...

Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non–Small Cell Lung Cancer The authors present a score that ...

AI labs like OpenAI claim that their so-called “reasoning” AI models, which can “think” through problems step by step, are more capable than their non-reasoning counterparts in specific domains, such ...