Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Analysis of over 5,000 hours of clinical wear data validates Trinity Biotech’s CGM+ 's purpose-built capability to distinguish nocturnal ...

Resource-efficient, error-corrected quantum computers will arrive sooner than expected, experts say, as breakthroughs appear and snowball. Microsoft, Google and ...

AI data center demand is tightening memory chip supplies, forcing manufacturers to prioritize AI hardware over consumer devices and raising concerns about higher prices and future shortages.

Even before mobile phones started taking photos everywhere, digital images suffered from a very simple problem. They looked ...

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

Spread the love“`html 1. Understanding GZIP Compression GZIP compression is a technique that dramatically reduces the size of files sent from your web server to a user’s browser. This compression is ...

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

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.

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...