With the price of RAM getting out of control, it might be a good idea to remind Linux users to enable ZRAM so they can get ...

Google’s TurboQuant is making waves in the AI hardware sector by addressing long-standing challenges in memory usage and processing efficiency. Developed with components like the Quantized ...

Abstract: With the exponential growth of multimodal data in IoT, efficiently compressing data while preserving semantic integrity has become a critical challenge. However, due to the limitations of ...

Abstract: The exponential growth of genomic data has posed significant challenges for lossless compression of genome sequences. While recent reference-free genome compressors have shown promising ...

Memory prices are falling, and stock prices of memory companies took a hit, following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing ...

Nvidia stock dropped over 9% since March 25 after AI memory stocks collapsed on TurboQuant news and OpenAI's spending pullback. The Chaikin Money Flow indicator holds above -0.25, meaning ...

Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs as advertised, it could drastically reduce the amount of memory chips ...