SysMain' was draining my computer's background memory. Here's how to find the biggest culprits behind your sluggish PC.

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Adding water to Cache Energy’s cement pellets causes a chemical reaction that releases heat. The reaction is reversible, allowing the system to store heat as well. CACHE ENERGY More than two millennia ...

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...

A new study finds that certain patterns of AI use are driving cognitive fatigue, while others can help reduce burnout. by Julie Bedard, Matthew Kropp, Megan Hsu, Olivia T. Karaman, Jason Hawes and ...

Anthropic is taking advantage of Claude’s recent increase in mindshare with a new memory import tool to encourage switching from competing AI chatbot systems. Claude’s memory feature is also available ...

Based on this, the researchers constructed a theoretical model where the transient increase in motility served as a "memory" of the enzyme's immediate past reaction event. The enzyme used this ...

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...