Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

The world’s energy demand is rising, and NREL’s ULIS power module could help meet it. Demand for energy worldwide is climbing rapidly, driven in part by power hungry data centers that support ...