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

Google’s TurboQuant cracks the memory-chip cartel — and the hardware-heavy AI thesis now looks like yesterday’s news.

Intel and Nvidia show off how textures -- which take up a large chunk of PC games -- could be compressed to save you money ...

Alphabet is leading the way in driving down AI costs.

Memory stocks got hammered this week after Google dropped a research paper that has investors questioning the entire thesis ...

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

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 Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth Memory (HBM) and SRAM. Specifically, the Key-Value (KV) cache size ...

AI systems are far better than people at spotting deepfake images, but when it comes to deepfake videos, humans may still have the edge. That’s the surprising twist from a new study that pits people ...

Abstract: Underwater applications such as exploration and salvage operations require capturing underwater images (UWIs) to evaluate attributes such as the shape and structural integrity of submerged ...