Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...

What Google's TurboQuant can and can't do for AI's spiraling cost ...

Everything on the electromagnetic spectrum has some properties of both waves and particles, but it’s difficult to imagine a ...

His work focus on productivity apps and flagship devices, particularly Google Pixel and Samsung mobile hardware and software. He provides expert guidance on productivity software, system optimization, ...

This is really where TurboQuant's innovations lie. Google claims that it can achieve quality similar to BF16 using just 3.5 ...

At NVIDIA’s DevSparks Pune 2026 masterclass session, attendees explored the software stack and built a Video Search and Summarization agent with NVIDIA DGX Spark, learning how compact AI systems ...

Service providers must optimize three compression variables simultaneously: video quality, bitrate efficiency/processing power and latency ...

A paper from Google could make local LLMs even easier to run.

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 paper, TurboQuant is an advanced compression algorithm that’s going viral over ...

FPGAs continue to gain ground in the edge AI arena thanks to their combination of reconfigurable hardware and deterministic, ...

Is the RAM shortage over? Here’s what’s likely driving the latest volatility in the memory storage space. It has been a ...

Learn why Google’s TurboQuant may mark a major shift in search, from indexing speed to AI-driven relevance and content discovery.