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Google's TensorFlow machine learning system can now be distributed across multiple machines in an update, TensorFlow 0.8. The machine learning software is already distributed across hundreds of ...

Neel Somani, a researcher and technologist with a strong foundation in computer science from the University of California, Berkeley, focuses on advancements of distributed computing across personal ...

In a post on its Research Blog, Google today announced that it is making some significant improvements to TensorFlow. For those unfamiliar, TensorFlow is the company’s open source machine learning ...

Distributed computing unites autonomous processors over a network to solve tasks that exceed the capacity of any single machine. Systems software in this domain spans operating systems, middleware, ...

Blockchain and edge computing can be a formidable combination in terms of power, scalability and versatility. Blockchain is sometimes perceived as cryptocurrency in general, but it’s a whole lot more.

With the explosive growth of terminal devices, scheduling massive parallel task streams has become a core challenge for distributed platforms. For computing resource providers, enhancing reliability, ...

The world of distributed computing took on a new profile this year when Folding@home, a 20-year-old distributed computing project, found itself picking up thousands of new volunteers to help COVID-19 ...