Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...

With TensorFlow, researchers can "try out their crazy ideas" with software that's also being used at Google. That's no longer the case, though, thanks in part to TensorFlow, a new machine-learning ...

Artificial intelligence, big data, and hybrid cloud computing have made a significant impact on the business industry. Joining this list is machine learning. This new advancement in business ...

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 ...

If you are interested in learning more about how you can use your Raspberry Pi and machine learning to expand your projects, you may be interested in a new tutorial published to the Hackster.io ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

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, short ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The big artificial intelligence (AI) news at Google I/O today is the ...

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 toolkit, ...

The WebGL-accelerated library works with the Node.js server-side JavaScript runtime, but isn’t on par with Tensorflow’s Python API Google’s TensorFlow open source machine learning library has been ...

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...