How to build a simple machine learning pipeline that allows you to stream and classify simultaneously, while also supporting SQL queries TensorFlow has emerged as one of the leading machine learning ...

It wasn't that long ago that building and training neural networks was strictly for seasoned computer scientists and grad students. That began to change with the release of a number of open-source ...

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 ...

Android development is not limited to cute little apps that split the bill in restaurants (that seems to be everyone’s “genius app idea,” or is it just me?). Android is a powerful platform with ...

The TensorFlow machine learning framework that Google Inc. released under an Apache open-source license in late 2015 just gained an important endorsement: IBM Corp. said today that it will support ...

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep learning ...

In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

Google is announcing TensorFlow, its open ­source platform for machine learning, giving anyone a computer and internet connection (and casual background in deep learning algorithms) access to one of ...

Posts from this author will be added to your daily email digest and your homepage feed. is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Google has always used ...

Google’s TensorFlow team released TensorFlow Lattice today to help developers ensure that their machine learning models adhere to global trends even when training data is noisy. Lattice draws from the ...