Discover the challenges behind AI's memory wall and explore 8 principles designed to fix memory limitations for smarter ...

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, ...

The 2023 Designcon at the Santa Clara Convention Center covered lots of topics related to semiconductor design and electronics Integration. This included a session that I moderated. In addition, ...

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 ...

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 ...

The type of memory a designer selects for an embedded project drives overall system operation and performance, so obviously this is a very important decision. Whether the system runs on batteries or ...

We all know AI has a power problem. On the whole, global AI usage already drew as much energy as the entire nation of Cyprus did in 2021. But engineering researchers at the University of Minnesota ...

What is CXL and why is it important? Why CXL 2.x memory support is the current product focus. How CXL addresses latency and other scaling issues. Though the CXL 3.1 standard is available, it’s the CXL ...

Long-term memory is a foundational capability for AI systems aiming to build sustained engagement. It enables models to ...

Intel Corporation, Qualcomm Incorporated, NVIDIA Corporation, Advanced Micro Devices Inc. Read 's Market Analysis on ...

Teledyne’s 16-Gbyte DDR4 memory module, designated TDD416Y12NEPBM01, is screened and qualified as an Enhanced Product (EP) for high-reliability aerospace and defense systems. The solder-down device is ...