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, ...

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 ...

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 ...