Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...

Researchers from quantum computing companies Quanscient Oy and Haiqu Inc. today announced that they have developed a new quantum computing algorithm designed to make computational fluid dynamics ...

Key takeaways from U.S. President Donald Trump's remarks on the West Asia conflict: He said the objective is nearly achieved, though the war is not yet over. Trump claimed Iran's leadership and ...

Highflying memory stocks like Micron and SanDisk have been dented this week and it might have something to do with TurboQuant, a compression algorithm detailed by Google in a research paper this week.

Sponsored: Determine your finances before marriage.

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth Memory (HBM) and SRAM. Specifically, the Key-Value (KV) cache size ...

Abstract: Multi-system environment has become an important part of modern enterprise and organization information architecture. However, the complexity of multi-system environment and the mass of log ...