The rapid growth of artificial intelligence and the increasing complexity of neural network models are driving demand for efficient hardware architectures that can address power-constrained and ...

UD’s Tingyi Gu receives NSF CAREER award to study materials that can create more reliable, less energy-intensive forms of computer memory To develop the types of high-speed, energy-efficient ...

The alternative text for this image may have been generated using AI. Given this background, the performance of GMC-based KAN (G-KAN) architecture can be validated on multiple tasks across different ...

Imagine having a conversation with someone who remembers every detail about your preferences, past discussions, and even the nuances of your personality. It feels natural, seamless, and, most ...

With transistors and logic gates as our basic building blocks, we can begin to construct the actual circuits that make up computer memory. One of the simplest memory circuits is the AND gate, which ...

Experts at the Table — Part 2: Semiconductor Engineering sat down to talk about AI and the latest issues in SRAM with Tony Chan Carusone, chief technology officer at Alphawave Semi; Steve Roddy, chief ...

Explosive growth of generative artificial intelligence (AI) applications in recent quarters has spurred demand for AI servers and skyrocketing demand for AI processors. Most of these processors — ...

When we talk about the cost of AI infrastructure, the focus is usually on Nvidia and GPUs — but memory is an increasingly important part of the picture. As hyperscalers prepare to build out billions ...

A team of researchers from leading institutions including Shanghai Jiao Tong University and Zhejiang University has developed what they're calling the first "memory operating system" for ai, ...

Chipmakers are beginning to incorporate multiple types and flavors of DRAM in the same advanced package, setting the stage for increasingly distributed memory but significantly more complex designs.