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 ...

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 ...

Edge AI—enabling autonomous vehicles, medical sensors, and industrial monitors to learn from real-world data as it arrives—can now adopt learning models on the fly while keeping energy consumption and ...

A new technical paper titled “The Future of Memory: Limits and Opportunities” was published by researchers at Stanford University and an independent researcher. “Memory latency, bandwidth, capacity, ...

Anu is a Features author at Android Police. You'll find her writing in-depth pieces about automation tools, productivity apps, and explainers. Before joining AP, she used to write for prominent tech ...

Artificial Intelligence (AI) and Machine Learning (ML) applications are driving increased demand for high-performance, low-power memory solutions across consumer, medical, and industrial markets.

TOKYO--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, today announced that it has begun sampling (1) new Universal Flash Storage (2) (UFS) Ver. 4.1 embedded memory devices ...