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Google’s new AI compression could cut demand for NAND, pressuring Micron

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...
IEEE

Design of an Embedded Image Compression System Using Python and Machine Learning

Abstract: The exponential growth of digital imagery necessitates advanced compression techniques that balance storage efficiency, transmission speed, and image quality. This paper presents an embedded ...

New Google TurboQuant algorithm improves vector search speed

A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

Google’s TurboQuant Compression Could Increase Demand For AI Memory

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.
IEEE

A lossless compression method based on vector quantization and linear prediction for 3D GIIRS datacubes

Geostationary Interferometric Infrared Sounder (GIIRS, launched in 2016) [1], [2], the appearance of which is definitely a huge step in remote sensing and meteorological observation, is a Fourier ...
SDxCentral

TurboQuant: Did Google just drop a compression algorithm capable of stemming RAMageddon?

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...