It's obvious to most people as soon as they set foot in a place they know well—like their childhood bedroom or a former ...

Abstract: Dedicated neural-network inference-processors improve latency and power of the computing devices. They use custom memory hierarchies that take into account the flow of operators present in ...

Researchers from the University of Edinburgh and NVIDIA developed Dynamic Memory Sparsification (DMS), letting large language models reason deeper while compressing the KV cache up to 8× without ...

The super-exponential growth of data harvested from human input and physical measurements is exceeding our ability to build and power infrastructure to communicate, store and analyze, making our ...

The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...

Facepalm: After consuming virtually the entire GPU market, generative AI and large language models are now putting pressure on DRAM and other mainstream memory products. Consumers are likely to feel ...

The Kuiper belt, a disc of icy rocks on the outermost edges of the solar system, seems to have more structure than we thought. In 2011, researchers found a cluster of objects there on similar orbits ...

Samsung Electronics staged a strong rebound in the third quarter of 2025 and set the tone for the next phase of the memory cycle, where AI infrastructure, premium product mix, and heavy capital ...

What if your AI could remember not just what you told it five minutes ago, but also the intricate details of a project you started months back, or even adapt its memory to fit the shifting needs of a ...

On the company's fourth-quarter earnings call, Micron CEO Sanjay Mehrotra said the firm will begin shipping its new HBM4 memory in the second quarter of 2026, with production ramping up in the second ...