Scientists in Japan have developed a powerful new way to compress X-ray imaging data in real time, reducing file sizes by ...

Researchers led by Takaki Hatsui at the RIKEN SPring-8 Center (RSC) in Japan and collaborators have developed a new approach ...

Tether’s TurboQuant enables useful and powerful local AI applications on consumer devices at much lower costs and without ...

From the highly collaborative, sun-drenched co-working spaces of Santa Monica to the sprawling, hyper-modern tech campuses of ...

A specially tweaked classical computer system has just solved a physics problem so complex it was thought to be impossible without a quantum computer. The problem is the simulation of what are called ...

The collaboration between Quanscient and Haiqu resulted in the OSSLBM algorithm, advancing quantum CFD by executing realistic simulations on quantum hardware.

"Optimization demands understanding hardware constraints at the silicon level," reflects Shaibujan Thankappan Kamalamma, whose career spans video codec work, streaming systems, and enterprise security ...

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.” ...

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...

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 ...

Add Decrypt as your preferred source to see more of our stories on Google. Google said its TurboQuant algorithm can cut a major AI memory bottleneck by at least sixfold with no accuracy loss during ...