Research on 68 million AI crawler visits show clear patterns that drive better AI search performance to business sites.

Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...

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 ...

Micron Technology (MU) shares fell to $339 Monday as fears over Alphabet’s (GOOGL) TurboQuant AI memory-compression algorithm raised concerns about long-term demand for high-bandwidth memory across ...

Google has unveiled TurboQuant, a new AI compression algorithm that can reduce the RAM requirements for large language models by 6x. By optimizing how AI stores data through a method called ...

The rules of search are changing. And it’s forcing a lot of companies to ask themselves a fundamental question: How do we get noticed now? For two decades, companies have relied on search-engine ...

This post was sponsored by Geoptie. The opinions expressed in this article are the sponsor’s own. The way people search is changing faster than most marketers realize. ChatGPT alone now has over 900 ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a ...

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving ...

Google's TurboQuant algorithm significantly reduces memory usage for large language models. Memory chipmakers could face pressure, but investors may be worrying too much. This industry, and one ...