If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about ...

Abstract: Exploiting the numeric symmetry in sparse matrices to reduce their memory footprint is very tempting for optimizing the memory-bound Sparse Matrix-Vector Multiplication (SpMV) kernel.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Standard linear regression predicts a single numeric value ...

Consortium partners to focus on modulation, laser integration, and advanced materials for data centre, AI cluster, telecomm, and car applications STMicroelectronics is to lead 24 technology companies ...

Abstract: We propose an efficient quantum subroutine for matrix multiplication that computes a state vector encoding the entries of the product of two matrices in superposition. The subroutine ...

ℹ️ Project Renaming Notice: This project was previously known as mcp_omni-connect. It has been renamed to omnicoreagent to reflect its evolution into a complete AI development platform—combining both ...