Chinese AI chip start-up Zhonghao Xinying has emerged as a home-grown alternative to Nvidia with a new tensor processing unit ...

Google has unveiled its proprietary artificial intelligence (AI) model, ‘Gemini 3.0 Pro,’ and its latest AI accelerator, the ...

Google's push to expand its in-house Tensor Processing Unit (TPU) platform is drawing fresh attention across the semiconductor sector, and analysts say Samsung Electronics could emerge as one of the ...

Nvidia's shares dropped 3% amid reports of Meta potentially partnering with Google, but the company maintains its GPUs are a ...

Nvidia has asserted that its graphics processing unit (GPU) platform remains a full generation ahead of its competitors, ...

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.

A custom-built chip for machine learning from Google. Introduced in 2016 and found only in Google datacenters, the Tensor Processing Unit (TPU) is optimized for matrix multiplications, which are ...

Back in 2015, Google began putting its own custom machine learning accelerator in its data centers, claiming significant improvements over off the shelf gear. Since then, details on the Tensor ...

Dan Fleisch briefly explains some vector and tensor concepts from A Student’s Guide to Vectors and Tensors. In the field of machine learning, tensors are used as representations for many applications, ...