Abstract: This paper proposed a satellite remote sensing image compression algorithm based on neural network architecture evolution, the method includes a neural network automatic evolution method, a ...

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 ...

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

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...

​For much of the past decade, post-quantum cryptography (PQC) lived primarily in academic journals and standards committees.

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 ...