Global Capability Centres are ditching traditional consulting for AI. Discover how AI systems like Claude Opus are ...

Hey folks, Vladan here. If you've followed my blog for any length of time, you know I'm always keeping an eye on backup and recovery solutions that make ...

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

Memory prices are plunging and stocks in memory companies are collapsing following news from Google Research of a ...

Explore how SQL Server 2025 reshapes the modern data platform with AI-ready capabilities, developer-first enhancements, hybrid modernisation and practical upgrade readiness guidance. For many years, ...

Every day humanity creates billions of terabytes of data, and storing or transmitting it efficiently depends on powerful compression algorithms. This video explains the core idea behind lossless ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...