Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Faster, more effective knee replacement surgery is now available in a Singaporean hospital with new artificial intelligence algorithm. Developed by Alexandra Hospital in Singapore, the technology has ...

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), ...

AI hardware needs to become more brain-like to meet the growing energy demands of real-world applications, according to researchers. In a study published in Frontiers in Science, scientists from ...

Makuochi Echebiri is a News Writer for Collider. He has been interested in creative writing from as far back as high school, and he would consume pretty much anything that’s film or TV. However, his ...

ABSTRACT: Context: Kidney disease is now recognized as a major public health issue with an increasing trend worldwide. Objectives: To determine the incidence and describe the profile of patients ...

The US and China are closing in on a deal to avoid a US ban of TikTok – and it will include China allowing US techies to replicate and replace the wildly popular app’s secret-sauce recommendation ...

A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM. “Large ...

Abstract: The current era in computer science field works in multicore processors. In multicore processors there are multiple CPUs, so the processor can execute multiple instructions of same task or ...

Generative AI is arguably the most complex application that humankind has ever created, and the math behind it is incredibly complex even if the results are simple enough to understand. GenAI also it ...