The sixth book is Process control case histories – an insightful and humorous perspective from the control room. Humor can ...

Given two endpoints and a compound annual growth rate between those two points over a specific amount of time is not as ...

Abstract: Conventionally, the large sparse matrix equation ($Ax=b$) generated by the Laguerre-FDTD method is computed using direct matrix solvers, which is often ...

Some microbes happily thrive in unforgiving environments. An extremophile hunt is underway to leverage their resilience ...

In the high-stakes world of cancer diagnosis, getting the right answer quickly can mean everything. When a brain tumor shows ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Right: Corresponding image reconstructed via 2D inverse Fourier transform, showing distortion due to sparse Fourier sampling ...

They have led me here, to the subject of my essay, Robert Macfarlane’s tripartite ecological-literary tour de force, Is a ...

Abstract: This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing process of B ...

Two years ago, in my early quest to understand what would become AI Overviews, I declared that Retrieval Augmented Generation ...

DBCSR is a library designed to efficiently perform sparse matrix-matrix multiplication, among other operations. It is MPI and OpenMP parallel and can exploit Nvidia and AMD GPUs via CUDA and HIP. To ...