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Open Source


Magnetic resonance imaging (MRI) scanners, the machines that doctors use to image the body’s soft tissue and organs, have been crucial tools for medical diagnoses for almost half a century. But one of their major shortcomings is the time it takes to carry out a scan. Clinicians can spend up to an hour gathering sufficient data for a …

We are sharing an in-depth characterization and analysis for infrastructures used to deliver personalized results in deep neural network-based (DNN) recommendation at scale. Although DNNs are often used to help generate search results, to provide content suggestions, and for other common applications for internet services, relatively little research attention has been devoted to optimizing system …

Polygames is a new open-source AI research framework for training agents to master strategy games through self-play, rather than by studying extensive examples of successful gameplay. Because it is more flexible and has more features than previous frameworks, Polygames can help researchers with advancing and benchmarking a broad range of zero learning (ZL) techniques that …

TF Dev Summit ’19 | TensorFlow Open Source Community And Collaboration TensorFlow is where it is today because of many amazing open source contributions, through GitHub, Special Interest Groups and Requests for Comment (RFCs). In addition to that, we have communities of contributors focused on documentation, and on testing the forthcoming TensorFlow 2.0 release. This …

The recent announcement about Neuralink, Elon Musk’s latest startup, added to the buzz already in the air about where tech is taking us in the not-so-distant future. Judging by its ambitious plans, which involve pairing computers wirelessly with the human brain, Neuralink demonstrates that the future is now. And a big part of that future is …