Google’s TurboQuant may drive more memory demand not less, analysts say

It doesn't take a genius to figure out that making memory for AI datacenters is way more profitable than making it for your gaming rig and that most of these big companies are not coming back to the ...

Google TurboQuant: Separating hype from reality

When Google unveiled TurboQuant on March 24, headlines declared the algorithm could slash AI memory use sixfold with zero ...

Why Google’s TurboQuant Algorithm is Disrupting the AI Memory Chip Market

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

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

From LLMs to hallucinations, here’s a simple guide to common AI terms

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

Working With More Experienced Engineers Can Fast-Track Career Growth

This article is crossposted from IEEE Spectrum’s careers newsletter. Sign up now to get insider tips, expert advice, and ...
The Next Platform

Contemplating Meta’s Homegrown MTIA Compute Engine Roadmap

What is clear is that Meta Platforms was very good at architecting DLRM systems running R&R training and R&R inference, but ...

BiomX Accelerates Defense Technology Buildout with DFSL Acquisition

BiomX Inc. (NYSE: PHGE) (“BiomX" or the “Company") today announced that it has accelerated the exercise of its previously disclosed exclusive option and entered into a definitive agreement to acquire ...