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 ...

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 ...

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 ...

Frustrated by YouTube feeding him Shorts and advertisements, PewDiePie set out to ‘fix’ the platform’s algorithm with his own AI. YouTube icon Felix ‘PewDiePie’ Kjellberg famously trained his own AI ...

LinkedIn is rebuilding its main feed algorithm with a new ranking system powered by advanced large language models (LLMs) and graphics processing units (GPUs), according to a recent company ...

LinkedIn is rebuilding its main feed algorithm via a new ranking system powered by a combination of advanced large language models (LLMs) and graphics processing units (GPUs) designed to take a more ...

This tutorial implements the Multiple Signal Classification (MUSIC) Algorithm [1] on the AI Engine. MUSIC is a popular algorithm for Direction of Arrival (DOA) estimation in antenna array systems.

Welcome to PPC Pulse: this week’s updates focus on creative controls and video delivery across Google Ads. Google expanded beta access to text guidelines in AI Max, allowing advertisers to set ...

AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...