Today, we’re excited to release TensorFlow 0.8 with distributed computing support, including everything you need to train distributed models on your own infrastructure.

They describe the shortcomings of these existing approaches to Dorm, noting that many, including monolithic, two-level, shared state, fully distributed and hybrid cluster managers can only statically ...

Google today announced the launch of version 0.8 of TensorFlow, its open source library for doing the hard computation work that makes machine learning possible.Normally, a small point update like ...

We called it Machine Learning October Fest. Last week saw the nearly synchronized breakout of a number of news centered around machine learning (ML): The release of PyTorch 1.0 beta from Facebook ...

In this video from the 2018 Blue Waters Symposium, Aaron Saxton from NCSA presents a tutorial entitled “Machine Learning with Python: Distributed Training and Data Resources on Blue Waters.” “Blue ...

Neuromorphic computing has had little practical success in building machines that can tackle standard tests such as logistic regression or image recognition. But work by prominent researchers is ...

Artificial intelligence (AI) and machine learning (ML) are disrupting every industry.Their impacts and integrations will only continue to grow. And ultimately, the future of AI is in distributed ...