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Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...

The team has improved the capabilities of physics-informed neural networks (PINNs), a type of artificial intelligence that incorporates physical laws into the learning process. Researchers from the ...

Management Science is a cross-functional, multidisciplinary examination of advances and solutions supporting enhanced strategic planning and management science. Includes relevant contributions from ...

The Montreal Canadiens and the Boston Bruins have been in conversations for a possible trade of Pavel Zacha, despite the fact that cooperation between the rivals has been incredibly rare, journalist ...

Charlie has been impressed by the way content is taught on our MMath Mathematics course. He has particularly enjoyed programming projects, which have allowed him to put knowledge learned in lectures ...

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

We've wondered for centuries whether knowledge is latent and innate or learned and grasped through experience, and a new research project is asking the same question about AI.

Abstract: This paper investigates a dynamic slab design problem in the steel industry, where order demands arrive dynamically during a given period. Slabs are the raw materials for producing order ...

Three paths to success by Frédéric Dalsace and Goutam Challagalla When companies market the sustainability features of their offerings, they often overlook a fundamental truth: Social and ...