Discrete memory chips are arguably the most visible reminder of the opportunities and challenges for advanced semiconductor design. They are manufactured in huge quantities, becoming key drivers for ...

As noted in a recent blog post, demand for more memory is a common theme for many semiconductor-driven products. Artificial intelligence (AI) and machine learning (ML) algorithms rely on fast, ...

Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...

Embedded Dynamic Random Access Memory (eDRAM) design is rapidly evolving to meet the escalating performance and energy efficiency demands of contemporary processors. This technology has emerged as a ...

What if your AI could remember not just what you told it five minutes ago, but also the intricate details of a project you started months back, or even adapt its memory to fit the shifting needs of a ...