Any software that claims to be independent from hardware is inefficient, bloated software. The time for such software development is over.

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

To understand a bit more, I believe that three names are very important, and some are already being very debated: Amara, ...

Learn more about whether Aehr Test Systems, Inc. or Rigetti Computing, Inc. is a better investment based on AAII's A+ ...

As artificial intelligence models become more sophisticated, gaining an edge over the market increasingly requires investors ...

As artificial intelligence models become more sophisticated, asset owners and managers are rethinking portfolio construction ...

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. The algorithms introduced by Google ...

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 ...

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

Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...

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 ...