Huawei's HZU Algorithm Aims for 90:1 Compression in New OceanProtect Backup Systems ...

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...

Vienna startup Ora Computing raised €3.5M and proved a 70-billion-parameter large language model can be compressed for under ...

In today’s digital world, video content reigns supreme. Whether you’re a filmmaker, content creator, or just someone who enjoys sharing memories through video, you’ve likely encountered the need to ...

Spread the love“`html In our increasingly digital world, managing file sizes has become a crucial part of ensuring efficiency and organization. Whether you’re sending large documents via email, ...

The real story behind 'Backrooms' and Issa Rae's 'Screen Time' is compression — the craft of concentrating audience attention into a window short enough to make something feel essential.

Tether successfully integrated Google’s TurboQuant into the inference engine of its local AI framework, QVAC. It is the ...

Abstract: The rapid generation and utilization of text data, driven by the proliferation of the Internet of Things (IoT) and large language models, has intensified the need for efficient lossless text ...

"Optimization demands understanding hardware constraints at the silicon level," reflects Shaibujan Thankappan Kamalamma, whose career spans video codec work, streaming systems, and enterprise security ...

TurboQuant is a compression algorithm introduced by Google Research (Zandieh et al.) at ICLR 2026 that solves the primary memory bottleneck in large language model inference: the key-value (KV) cache.

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.” ...

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. The algorithms introduced by Google ...