In-network computing is not new to this iteration of Nvidia’s architecture. In fact, it has been in common use since around ...

Tiny 3D-printed “light cages” are giving researchers a new way to catch and hold individual particles of light on a chip, a ...

Manufacturing-aware system design treats dies, interposers, packages, and analysis as a single, coherent system.

Nvidia’s Rubin AI drives higher demand for storage and memory. Expect continued shortages and higher prices in 2026. Jensen ...

In the early 2000s, mesh networks were on the verge of being everywhere and connecting everything. Daisy-chaining many devices like beads on a string would “accommodate hundreds or thousands of nodes” ...

Abstract: Edge-cloud computing requires dynamic and accurate bandwidth estimation for intelligent data offloading decisions. Within this context, this article proposes an AI-based mechanism to ...

Abstract: Along with the prevalence of smart vehicles, new computation-intensive and delay-sensitive applications are booming, but on-board devices often lack sufficient communication bandwidth, ...

In this series, we’ve examined how hyperscalers and systems integrators (SIs) are reshaping enterprise artificial intelligence (AI) across Asia-Pacific (APAC). We’ve seen how SIs are winning by ...

Trapped-ion quantum computing operates at room temperature, unlike other types that need extreme cold. This type of quantum computing is promising for stable, long-term research and application.