WiMi Explores Multi-Dimensional Pooling Optimization Technology under the Variational Quantum Algorithm Framework

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, is exploring multi-dimensional pooling optimization ...
Tech Xplore

Real-time X-ray compression shrinks file size by 8,000 times

Researchers led by Takaki Hatsui at the RIKEN SPring-8 Center (RSC) in Japan and collaborators have developed a new approach ...

Tether Brings AI Memory Compression To Consumer Devices

Tether’s TurboQuant enables useful and powerful local AI applications on consumer devices at much lower costs and without ...
Phys.org

AI algorithm identifies cells across diverse biological images, cutting hours of manual labeling

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 ...
Geeky Gadgets

Why Google’s TurboQuant Algorithm is Disrupting the AI Memory Chip Market

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 ...
Network World

Google Research touts memory-compression breakthrough for AI processing

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 ...
Android

This Google AI Breakthrough Could End the Global RAM Crisis Sooner Than Expected

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 ...
TechSpot

Google's TurboQuant compression tech cuts LLM memory use by 6x with no accuracy loss

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 Verge

Google’s TurboQuant algorithm aims to slash AI memory usage.

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.” ...
The Next Web

Google’s new compression algorithm cut memory stocks within hours of publication

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 ...
decrypt

Google Shrinks AI Memory With No Accuracy Loss—But There's a Catch

Add Decrypt as your preferred source to see more of our stories on Google. Google said its TurboQuant algorithm can cut a major AI memory bottleneck by at least sixfold with no accuracy loss during ...
Time

How the Secret Algorithms Behind Social Media Actually Work

Follow this section to personalize your feed and get instant alerts. WHY FOLLOW? Update your preferences in Account Settings Personalized Content Follow this tag to personalize your feed and get ...