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, ...

Some digital design and verification engineers imagine that their colleagues working on analog/mixed-signal (AMS) chips are jealous. After all, the digital development flow has enjoyed the benefits of ...

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, ...

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 ...

Semantic memory is a form of long-term memory that comprises a person’s knowledge about the world. Along with episodic memory, it is considered a kind of explicit memory, because a person is ...