A new technical paper titled “Memory-Centric Computing: Recent Advances in Processing-in-DRAM” was published by researchers at ETH Zurich. “Memory-centric computing aims to enable computation ...

A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen Graduate School has achieved a global breakthrough by developing the first ...

Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.

To survive in today's ultra-competitive business environment, companies have to be adaptable and be able to move quickly with the ever-changing market conditions. It's not enough to simply have a good ...

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions. AI-driven applications are fueling significant year-over-year growth in ...

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...

Artificial intelligence (AI) is expanding rapidly to the edge. This generalization conceals many more specific advances—many kinds of applications, with different processing and memory requirements, ...

SEOUL, South Korea--(BUSINESS WIRE)--Samsung Electronics Co., Ltd., the world leader in advanced memory technology, today announced that it has developed the industry's first High Bandwidth Memory ...

Rapid advancements in AI are becoming commonplace, driven by large language models (LLMs) that now exceed 1 trillion parameters. While these AI models are revolutionizing many industries, their ...

Agentic AI is driving a major transformation in computing, enabled by more powerful processors and new semiconductor manufacturing techniques. Traditional single-chip architectures are reticle-limited ...