Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Google’s TurboQuant algorithm aims to slash AI memory usage.

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” [ ...

World's largest quantum circuit simulation for quantum chemistry achieved on 1,024 GPUs

A joint research team between the Center for Quantum Information and Quantum Biology (QIQB) at The University of Osaka and ...
Hypebeast

Meta Explains How Its AI Decides Your Facebook and Instagram Algorithm

Meta has now given users a comprehensive look at just how it utilizes AI systems to help platforms like Facebook and Instagram determine just what users can see on their feeds. Through Meta’s ...
SDxCentral

Quantum security beyond PQC: Networks need more than new algorithms

Quantum security is not just about new algorithms – operators must tackle key issues and untangle crypto sprawl before ...
The Next Web

Google’s new compression algorithm cut memory stocks within hours of publication

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

10 AI terms everyone should know

The term “AI” has been used in computer science since the 1950s, but most people outside the industry didn’t start talking about it until the end of 2022. That’s because recent advances in machine ...