Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in which the probabilities of tokens occurring in a specific order is ...

A newly developed encryption framework aims to protect video data from future quantum attacks, all while running on today's ...

Google explains why it doesn't matter that websites are getting heavier and the reason has everything to do with SEO.

Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating ...

Sandisk Corp.’s NAND thesis stays strong. Learn why the SNDK stock dip may be headline-driven and why it could retest highs.

Make AI work smarter, not harder.

[Digital Today Kyung-min Hong (홍경민), intern reporter] Google has unveiled TurboQuant, a new compression algorithm that can cut memory use and increase speed for large language models (LLMs). On March ...

Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

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 ...