SK hynix, TetraMem, and the University of Southern California built a memristor-based in-memory computing system-on-chip for ...

ResMed said on Tuesday it would sell its software business MatrixCare to private equity firm Frazier Healthcare Partners for ...

Broadway Cares/Equity Fights AIDS posted video of 'Dom-in-the-Matrix,' a Matrix-inspired number from Broadway Bares: License ...

Intel and AMD have jointly announced ACE, a new x86 instruction set extension that brings dedicated AI acceleration to CPUs, ...

Abstract: Accurate programming of non-volatile memory (NVM) devices in analog in-memory computing (AIMC) cores is critical to achieve high matrix-vector multiplication (MVM) accuracy during deep ...

ETL is a header only library for C++ that provides vector and matrix classes with support for Expression Templates to perform very efficient operations on them. At this time, the library support ...

The LEEMONS project is researching nanostructured silicon that uses low-energy electron multiplication (LEEM) to allow one high-energy photon to generate multiple electrons, reducing energy losses in ...

Abstract: In this paper, a high-order multiplication perturbation-based transition matrix method (TM-HOMP) is proposed to address the strongly terminal-constrained optimal control problem (OCP) in ...

The growing demand for AI has pushed modern data centers toward unprecedented requirements in computing speed and energy efficiency. Photonic processors, which exploit the massive bandwidth and ...

Cyclops is a parallel (distributed-memory) numerical library for multidimensional arrays (tensors) in C++ and Python. Quick documentation links: C++ and Python. Broadly, Cyclops provides tensor ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...