At the intersection of analytics and smart technology, companies now seeing the long-awaited benefits of AI and Big Data.

Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...

Turning fragmented clinical data into actionable insight helps clinicians access unified patient information for faster, informed decisions across ...

To get started, can you give us an overview of why compression pads are important in lithium-ion batteries? Compression pads ...

To meet the quality compliance requirements of Tier-1 global clients such as Apple and Tesla, relevant data must be retained for periods ranging from 6 months to 15 years to ensure end-to-end ...

It works like magic, but won't renew your old 8GB card's lease on life ...

TSNC is being positioned as a practical path for developers who already ship BC-compressed assets and want to squeeze more data into the same storage, bandwidth, ...

Intel and Nvidia show off how textures -- which take up a large chunk of PC games -- could be compressed to save you money ...

Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating ...

Memory prices are plunging and stocks in memory companies are collapsing following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing.

We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...