Today, OpenAI announced what it calls content provenance signals across its image ecosystem. In other words, it's tagging its ...

Robo.ai Inc. (Nasdaq: AIIO), announced today that its wholly-owned AI data processing and compression technology subsidiary, Neurovia AI, ...

If you run an ecommerce business, there’s a good chance you’ve had to wrangle and upload images. Whether they were logo ...

We compress not to shrink data, but to make it cheaper for AI to “think”.

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 ...

Imaging is a critical technique in biology—from identifying cancerous cells in biopsies to observing how immune cells like macrophages hunt down and destroy pathogens. Traditionally, distinguishing ...

Google’s TurboQuant is making waves in the AI hardware sector by addressing long-standing challenges in memory usage and processing efficiency. Developed with components like the Quantized ...

Memory prices are falling, and stock prices of memory companies took a hit, following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing ...

We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when ...

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 ...

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...