For the past two decades, distributed caches, also known as in-memory data grids, have been used to address such challenges.

AI focuses on learning patterns from data to make decisions; quantum computing focuses on raw computational power for complex problems like molecular simulation and code-breaking.

A Co-Simulation Framework for Deep Learning on Chiplet-Based Systems” was published by researchers at University of Wisconsin ...

Microsoft has announced it will ship Nvidia's advanced AI chips to the United Arab Emirates. The U.S. Commerce Department ...