There is no real middle ground when it comes to TensorFlow use cases. Most implementations take place either in a single node or at the drastic Google-scale, with few scalability stories in between.

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 ...

Intel has just announced that its new Data Center GPU Flex Series cards have been added to their family of PluggableDevices, something that is called Intel Extension for TensorFlow. Intel Extension ...

When the time comes to add an object recognizer to your hack, all you need do is choose from many of the available ones and retrain it for your particular objects of interest. To help with that, [Edje ...

Deep learning has advanced rapidly, driving breakthroughs in image recognition, natural language processing, and autonomous ...

Qualcomm revealed more info on its upcoming Snapdragon 835 mobile processor last week during CES 2017. However, its not done yet with reveals about its latest high-end chip. This week, it revealed ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.