Google has revealed details about how its custom Tensor Processing Unit speeds up machine learning; here's how the field is set to evolve in its wake Google is nothing if not ambitious about its ...

While Google is focused on artificial intelligence and making Google Assistant smarter and more conversational, the company needs processing horsepower to make it happen. Enter: TPU 3.0. Google CEO ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Google’s Tensor Processing Units (TPUs), the company’s custom chips for running machine learning workloads written for its TensorFlow framework, are now available to developers. The promise of these ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google today announced that the company has created a second generation ...

As HPC enters the exascale era, watchers of the TOP500 list of the world’s most powerful supercomputers will look to see if the updated list, to be released this month at the ISC conference in Hamburg ...

Google on Wednesday revealed that for the past year, it's been powering data centers with a custom-built Tensor Processing Unit (TPU) chip designed for machine learning and tailored for TensorFlow.

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Google has crafted its own machine learning chip to beef up its machine learning algorithms, that's no secret. It revealed the said TPU chips back in May 2016 during its I/O developer conference, but ...

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The hardware is designed for enterprise applications, like automating quality control checks in a factory The hardware is designed for enterprise applications, like automating quality control checks ...

As the war for creating customized AI hardware heats up, Google announced at Google I/O 2018 that is rolling out out its third generation of silicon, the Tensor Processor Unit 3.0. Google CEO Sundar ...