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

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

Sparse matrix computations are pivotal to advancing high-performance scientific applications, particularly as modern numerical simulations and data analyses demand efficient management of large, ...

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

Recently, a research team led by Prof. Sun Zhong at Peking University reported an analog hardware solution for real-time compressed sensing recovery, which has been published as an article titled ...

Aalto University has demonstrated Tensor calculations using light. “Tensor operations are the kind of arithmetic that form ...

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 ...

Die AMD-Führungsriege präsentierte auf dem Financial Analyst Day viele Pläne für die kommenden Jahre. Vieles blieb unkonkret, ...