It always seems to need more of everything: more power, more data centers, more processors, and -- to the benefit of Micron ...

An experiment in composite AI thinking began with a simple premise: submit the same prompt to three frontier models — ChatGPT ...

Failure to secure influence over AI ecosystems risks forfeiting control over not just technology, but also economic ...

As Smart Manufacturing becomes the core driver of industrial transformation, the electronic assembly industry—led by PCB (Printed Circuit Boards)—is undergoing a profound digital revolution. In ...

A research team has developed a Gaussian Splatting processing platform that supports end-to-end processing from data acquisition to multi-platform rendering. Their framework provides a solid ...

Nvidia (NASDAQ: NVDA) is showing signs of renewed momentum and a potential breakout after an extended period of consolidation ...

Google's TurboQuant algorithm is going to be a boon for the memory industry, setting these three stocks up for outstanding ...

Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...

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 ...

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