Google today is unveiling its second-generation Tensor Processor Unit, a cloud computing hardware and software system that underpins some of the company’s most ambitious and far-reaching ...

Google has long been considered a leader in the field of machine learning, and now it's hoping to share some of its expertise.The Web giant has just open-sourced a new machine learning system call ...

Google has developed its second-generation tensor processor—four 45-teraflops chips packed onto a 180 TFLOPS tensor processor unit (TPU) module, to be used for machine learning and artificial ...

The system then moves, or flows, to the next data set — like looking for paws in the photo. ... That flow process is called a tensor, hence the name TensorFlow. What's its potential?

This is Google’s animated illustration of how tensors flow from node to node through the edges of a data flow graph. TensorFlow currently runs on Ubuntu Linux, MacOS, Android, iOS, and Raspberry ...

Google has built and launched a new machine-learning system called TensorFlow, making it available for any developer through an online open-source library. Google’s existing machine-learning ...

Google open sources its TensorFlow machine learning system Written by Larry Dignan, Contributor Nov. 9, 2015 at 6:47 a.m. PT Google on Monday outlined plans to open source its machine learning system.

Google (the real Google, within Alphabet) has announced a new, open-source machine learning platform called TensorFlow (Opens in a new window), one which could greatly accelerate the pace at which ...

Google's TensorFlow machine learning system can now be distributed across multiple machines in an update, TensorFlow 0.8. The machine learning software is already distributed across hundreds of ...

Today Quobyte announced that the company's Data Center File System is the first distributed file system to offer a TensorFlow plug-in, providing increased throughput performance and linear scalability ...

The machine-learning system is targeted at researchers, developers, students, engineers, inventors and the like. TensorFlow runs on CPUs or GPUs, desktop, servers and mobile platforms.