TensorFlow 0.8 adds distributed computing support to speed up the learning process for Google's machine learning system. Written by Larry Dignan, Contributor April 13, 2016 at 10:00 a.m. PT ...

In my own career, which started more than 20 years ago, I have worked on distributed systems in the context of the internet, peer-to-peer networks, big data, and now, machine learning. However, until ...

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 ...

Maria Schuld, a quantum machine learning developer at Xanadu, was one of the first PhDs in quantum computing, and chose Xanadu to continue developing quantum algorithms for supervised learning. Schuld ...

Nvidia GPUs for data science, analytics, and distributed machine learning using Python with Dask Open source Python library Dask is the key to this. Written by George Anadiotis, Contributor March ...

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 ...

SFU has award-winning research faculty whose interests lie in the interplay between scientific computing, approximation theory, machine learning, the analysis of partial differential equations (PDE) ...

ADELPHI, Md. -- A new algorithm is enabling deep learning that is more collaborative and communication-efficient than traditional methods. Army researchers developed algorithms that facilitate ...