Google's custom chip, the tensor processing unit, has become an increasingly important part of the company's AI strategy, ...

The Tensor G2's AI acceleration enables features like processing photos and translating languages. With it, converting speech to text is 70% faster. Google on Thursday revealed its Tensor G2 ...

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A custom-built AI chip from Google. Introduced in 2016 and used in Google Cloud datacenters, the Tensor Processing Unit (TPU) is designed for matrix multiplication, which is the type of processing ...

As we expected, the Google Tensor processor is focusing on enhanced imaging and machine learning (ML) capabilities rather than game-changing raw power. Even so, that leaves us with plenty to be ...

Rick Osterloh casually dropped his laptop onto the couch and leaned back, satisfied. It's not a mic, but the effect is about the same. Google's chief of hardware had just shown me a demo of the ...

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, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google CEO Sundar Pichai today announced it will release a third ...

Forget the CPU, GPU, and FPGA, Google says its Tensor Processing Unit, or TPU, advances machine learning capability by a factor of three generations. “TPUs deliver an order of magnitude higher ...

The Nvidia A100 chip was presented at the Hot Chips conference. Sander Olson provided Nextbigfuture with the presentation. The Nvidia A100 is a third-generation Tensor Core chip. It is faster and more ...