Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

LinkedIn introduces Cognitive Memory Agent (CMA), generative AI infrastructure layer enabling stateful, context-aware systems ...

Google's new TurboQuant algorithm drastically cuts AI model memory needs, impacting memory chip stocks like SK Hynix and Kioxia. This innovation targets the AI's 'memory' cache, compressing it ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

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.” ...

Micron Technology (MU) shares fell to $339 Monday as fears over Alphabet’s (GOOGL) TurboQuant AI memory-compression algorithm raised concerns about long-term demand for high-bandwidth memory across ...

TAIPEI -- Worsening supply constraints in central processing units made by Intel and AMD are adding fresh pain for PC and server makers already hammered by an unprecedented memory chip shortage, ...

The Trusted Computing Group (TCG) released its Trusted Platform Module 2.0 v185 specification, which integrates post-quantum cryptography (PQC) algorithms to help device owners protect sensitive data ...

Investors were spooked by a new Google compression algorithm that makes AI models more efficient and requires less memory. Rising fears about a recession and higher inflation contributed to the ...