A compression algorithm like TurboQuant turns the data in the AI's working memory into a smaller, more efficient form.

Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and ...

Hina Gandhi, software engineering technical leader, Cisco, offered tips and techniques to pave the way for autonomous, efficient data pipelines that continuously adapt to changing workloads and ...

Critical flaws affecting core components and extensions in PostgreSQL and MariaDB could allow remote code execution. The bugs ...

A new kind of memory device may finally solve the problem of overheating and battery drain in electronics. By shrinking ...

Google AI breakthrough TurboQuant reduces KV cache memory 6x, improving chatbot efficiency, enabling longer context and ...

Virginia Tech researchers have shown that memory loss in aging may be reversible. Using CRISPR tools, they corrected molecular disruptions in the hippocampus and amygdala, restoring memory in older ...

These modules are meant for registered server memory ecosystems like cloud servers and AI training clusters, not AM5 or ...

Samsung, SK Hynix, and Micron have begun early DDR6 development with substrate manufacturers, targeting speeds that more than ...

The post The Race for DDR6 Kicks Off: Samsung & Micron Clash to Double Memory Speeds appeared first on Android Headlines.

Enterprises grappling with surging memory prices and constrained supply are increasingly turning to cloud infrastructure over ...

Dive into The Register's online archive of incisive tech news reporting, features, and analysis dating back to 1998 ...