Google Tensor is a breakthrough moment in the history of machine learning.
Machine learning (ML) transforms the way we use technology every few years. And we’re pleased to announce that Google products are sometimes used. We’ve seen Google Assistant improve the functionality of your devices and Google Translate break down language barriers, but we haven’t always been able to bring the best of machine learning to your smartphone. That is why Google Tensor was built. A processor that can provide Pixel users with whole new capabilities while remaining on top of the latest machine learning breakthroughs.
A few years ago, the Google research team collaborated on hardware, software, and machine learning to develop the best ML mobile computer, allowing us to fully achieve our vision of what our Pixel smartphones should be capable of. Co-creating Google Tensor with Google Research provided us with some insight into where machine learning models are headed, rather than where they are now. As a result, we were able to build an AI/ML platform that could continue our work at Google. We’re unlocking fantastic new experiences with Google Tensor that need cutting-edge machine learning, such as motion mode, face blur, speech enhancement mode for video, and applying HDRnet to video (which we’ll discuss later).Google Tensor allows us to push the limits of a smartphone’s use, transforming it from a one-of-a-kind piece of hardware to a gadget that understands and adapts to the many ways we use them.
Differently designed
Google Tensor was created in a unique way. Google Tensor is a high-end system on a chip (SoC) with all the features you’d expect from a mobile SoC and more. How did we pull it off? Our new phones’ major areas of experience are speech, language, pictures, and video, all of which are heterogeneous in character, requiring additional resources across the chip. As a result, we carefully developed Google Tensor to offer the right level of computing performance, efficiency, and security. With Android 12, we set out to build an operating system that would lay the groundwork for future hardware and software collaboration. It may be seen in real-world applications such as creating stunning movies and understanding many languages.
