Google introduces TurboQuant, a compression method that reduces memory usage and increases speed ...

Most of the energy an AI chip burns never goes toward actual computation. It goes toward moving data: shuttling model weights ...

Memory is no longer just supporting infrastructure; it's now become a primary determinant of system performance, cost and ...

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...

Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...