An innovative AI algorithm is now capable of generating complex 'sikku' kolam patterns, revolutionising the ancient Indian art form and opening doors to new technological applications. Key Points ...

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 ...

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 ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. The algorithms introduced by Google ...

In many companies, employees compete on leaderboards to show how much AI they are using. They are racking up big bills along the way.

Andrej Karpathy, the former Tesla AI director and OpenAI cofounder, is calling a recent Python package attack "software horror"—and the details are genuinely alarming. A compromised version of LiteLLM ...

A volunteer developer on a well-used Python library got more than he bargained for when, after rejecting an OpenClaw AI agent’s efforts to update its code, he became the subject of a “hit piece” ...

COMMENT | Recent revelations from a laboratory test reported by The Guardian have once again exposed the fragile relationship between artificial intelligence (AI) and corporate security. In controlled ...

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 ...

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. Shares of major memory and storage ...