Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Google recently announced at its I/O event its sixth tensor processing unit (TPU) called Trillium, and according to the company the new processor is designed for powerful next-generation AI models.

There are central processing units (CPUs), graphics processing units (GPUs) and even data processing units (DPUs) – all of which are well-known and commonplace now. GPUs in particular have seen a ...

Artificial intelligence infrastructure has emerged as the critical battleground for cloud computing dominance. At this year’s Google Cloud Next conference, the company demonstrated its intensified ...

Google has formally announced the Tensor G3, the chipset that powers the Pixel 8 and Pixel 8 Pro. While the new chip brings notable improvements in all areas, it places more emphasis on AI performance ...

Scientists introduce what they call 'simultaneous and heterogeneous multithreading' or SHMT. This system doubles computer processing speeds with existing hardware by simultaneously using graphics ...

Google reached a settlement on Wednesday in a patent infringement lawsuit over the TPU chips powering its artificial intelligence (AI) technology, just hours before closing arguments were set to begin ...