The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

Regression models have been used in the social sciences at least since 1899, when Yule published a paper on the causes of pauperism. Regression models are now used to make causal arguments in a wide ...

We consider the problem of estimating a sparse multi-response regression function, with an application to expression quantitative trait locus (eQTL) mapping, where the goal is to discover genetic ...

Browser agents, an AI system that controls a browser end-to-end, can be a practical tool when used effectively.

The core of big data models lies in the synergy of algorithm innovation, computational power support, and data governance to ...

Primary and secondary outcome measures The primary outcome was tracheal injury score, assessed via fibreoptic bronchoscopy for hyperaemia, ischaemia, ulcers and perforation. Lesions were classified as ...

Enhance your skills in energy statistical analysis with our expanded three-day workshop. Dive deep into crucial topics like risk quantification and pricing models using practical exercises in Excel.

Specifically, the 'LimiX' large model supports up to 10 types of tasks, including classification, regression, high-dimensional representation extraction, and causal inference. In scenarios such as ...