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Google's open source framework for machine learning and neural networks is fast and flexible, rich in models, and easy to run on CPUs or GPUs What makes Google Google? Arguably it is machine ...

Developers of deep learning, machine learning and other artificial intelligence are increasingly adopting the TensorFlow framework. Though TensorFlow is not an official Apache project, it was ...

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 couldn’t be hotter, with several heavy hitters offering platforms aimed at seasoned data scientists and newcomers interested in working with neural networks. Among the more popular ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ramya Krishnamoorthy shares a detailed case ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Graphs are, quite simply, a universal ...

A drug discovery technique called “high content” screening analyzes data in microscopic images used to determine the effects of genetic and chemical treatments on cell cultures. However, the ...

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...