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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More At Google’s inaugural TensorFlow Dev Summit in Mountain View, California, ...

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 ...

Google LLC is rolling out a number of tools for developers to build machine learning and artificial intelligence into their applications using high-performance AI models and solutions. At Google I/O, ...

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 ...

Over the past year I’ve reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and ...

Over the past year, Google’s TensorFlow has asserted itself as a popular open source toolkit for deep learning. But training a TensorFlow model can be cumbersome and slow—especially when the mission ...

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 LLC today launched a new iteration of TensorFlow, its popular artificial intelligence framework, and a pair of complementary modules aimed at enabling algorithms to process user data more ...