using tensor products to compactly structure multi-dimensional information. A novel, intrinsically interpretable tensor network-based machine learning framework has emerged. This innovative ...

However, the biggest highlight in these devices is associated with the Tensor chip. This is Google’s in-house-made chip that focuses on machine learning and AI tech. It’s behind all the fancy ...

Google’s Pixel 6 and Pixel 6 Pro are officially here, and with them, the debut of Google’s new Tensor chip. Google has finally revealed more information on what the new SoC can actually do ...

Google Tensor is undoubtedly the most talked-about bit of the new Pixel 6 series. The chip has been marketed as going big on machine learning and supplying all the juice needed for stuff like ...

The company points out how the new system on a chip (SoC) uses machine learning to enhance many of the phone's features. Both of the Pixel 6 phones will incorporate Google's new Tensor processor.

Google announced its next generation of its custom Tensor Processing Units (TPUs) machine learning chips at Google I/O today. These chips, which are designed specifically to speed up machine ...

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process ...

We’ve talked about TensorFlow before — Google’s deep learning library. Crunching all that data is the province of big computers, not embedded systems, right? Not so fast. [Neil-Tan] and ...

Engineers working on Google’s TensorFlow machine learning framework have revealed a subproject, MLIR, that is intended to be a common intermediate language for machine learning frameworks.