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New memory structure helps AI models think longer and faster without using more power

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...
Semiconductor Engineering

Freeing Up Near-Memory Capacity For Cache Using Compression Techniques In A Flat Hybrid-Memory Architecture

A technical paper titled “HMComp: Extending Near-Memory Capacity using Compression in Hybrid Memory” was published by researchers at Chalmers University of Technology and ZeroPoint Technologies.
TechCrunch

ZeroPoint’s nanosecond-scale memory compression could tame power-hungry AI infrastructure

AI is only the latest and hungriest market for high-performance computing, and system architects are working around the clock to wring every drop of performance out of every watt. Swedish startup ...
TechSpot

Startup aims to tackle AI bottlenecks with novel memory compression techniques

Forward-looking: It's no secret that generative AI demands staggering computational power and memory bandwidth, making it a costly endeavor that only the wealthiest players can afford to compete in.
Nature

Video Compression Algorithms and Memory Efficiency

Video compression has become an essential technology to meet the burgeoning demand for high‐resolution content while maintaining manageable file sizes and transmission speeds. Recent advances in ...
Electronics Weekly

JEDEC plans advanced memory modules for next-gen AI applications

JEDEC has unveiled its plans for advanced memory modules to enable future high-performance computing and AI applications. Specifically, the standards body has revealed details about its standards for ...