Distributed computing has markedly advanced the efficiency and reliability of complex numerical tasks, particularly matrix multiplication, which is central to numerous computational applications from ...

About DESILO DESILO develops encrypted computation and privacy-preserving AI infrastructure that enables multi-party data collaboration without exposing sensitive information. The company is expanding ...

Photonic innovation: researchers in the US have created an optical metamaterial that can perform vector–matrix multiplication. (Courtesy: iStock/Henrik5000) A new silicon photonics platform that can ...

AI training time is at a point in an exponential where more throughput isn't going to advance functionality much at all. The underlying problem, problem solving by training, is computationally ...

The future of computing has arrived in a flash, literally. In A Nutshell Researchers created a computer that performs complex ...

Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for ...

Optical computing uses photons instead of electrons to perform computations, which can significantly increase the speed and energy efficiency of computations by overcoming the inherent limitations of ...

Artificial intelligence grows more demanding every year. Modern models learn and operate by pushing huge volumes of data ...

At the Financial Analyst Day, AMD's leadership presented many plans for the coming years. Much remained unspecific, but there ...