Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

This article outlines the design strategies currently used to address these bottlenecks, ranging from data center systolic ...

A study in mice concluded that memory problems associated with age may be driven by our gut microbiome and that the vagus ...

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

Lingering inflammation from viruses like COVID-19 or HIV can take a lasting toll on the brain. New research shows exactly how specific immune system imbalances lead to memory lapses and slowed ...

Working memory is a cognitive function that is essential for carrying out everyday activities and temporarily retaining information. This process enables us to understand information, learn and manage ...

Researchers identify the Munc13-1 protein as a crucial molecular pathway for working memory, linking calcium signaling to synaptic strengthening.

Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...

For almost a century, psychologists and neuroscientists have been trying to understand how humans memorize different types of information, ranging from knowledge or facts to the recollection of ...

Memory is not a recording device. It doesn't play back events like a video camera would. Instead, it's a remarkably active, ...

The 16GB DDR4-X1 device is also used in Teledyne e2v's Qormino® QLS1046 space computing modules, which integrates a radiation-tolerant processor with DDR4 memory for advanced onboard processing tasks ...

This approach can be viewed as a memory plug-in for large models, providing a fresh perspective and direction for solving the ...