TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

TensorFlow is the most popular machine learning framework on code repository GitHub, and the most forked project on the site in 2015, despite only being released in November of that year.

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. MLIR ...

TensorFlow is Google's latest version of machine learning code, following their DistBelief system. When Google started building TensorFlow, ...

With this week's release of TensorFlow 1.0, Google has pushed the frontiers of machine learning further in a number of directions. TensorFlow isn't just for neural networks anymore ...

The news: Google is releasing free open-source software that will make it easier to build quantum machine-learning applications. TensorFlow Quantum is an add-on to Google’s popular TensorFlow ...

Google has open sourced its primary tool for machine learning under the Apache 2.0 license. ... Google has released a series of tutorials and data flow graphs to highlight how the system works.

Google has revealed the specs and details for its Tensor SoC, the custom chip that powers its new Pixel 6 and Pixel 6 Pro smartphones, along with the machine learning features it enables.

Google on Monday announced TensorFlow, a new machine learning system that is being utilized throughout Google’s line of products. The new system is “faster, smarter, … ...

Machine Learning (ML) stands as one of the most revolutionary technologies of our era, reshaping industries and creating new frontiers in data analysis and automation. At the heart of this ...