Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

Micron is expected to report 148% revenue growth for the February quarter as average selling prices surge 32% quarter over quarter. The memory provider's stock has soared thanks to a shortage brought ...

Shawn Shen believes that AI will need to remember what it sees in order to succeed in the physical world. Shen’s company Memories.ai is using Nvidia AI tools to build the infrastructure for wearables ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

Google Research published TurboQuant on Tuesday, a training-free compression algorithm that quantizes LLM KV caches down to 3 bits without any loss in model accuracy. In benchmarks on Nvidia H100 GPUs ...

In a new co-authored book, Professor and Chair of Psychology and Neuroscience Elizabeth A. Kensinger points out some surprising facts about how memories work Explaining the science behind memory and ...

Brianna Tobritzhofer is a nationally credentialed Registered Dietitian and experienced health writer with over a decade of leadership in nutrition program development, policy compliance, and public ...

A global shortage of memory chips is likely to persist another four to five years because of constraints in semiconductor production. Supply of the basic wafers that get made into chips are lagging ...