Antimicrobial resistance is a growing health crisis that could lead to millions of deaths by 2050, according to the World Health Organization. Antibiotics are critical for human health, but many ...

The future of machine learning is distributed If you are familiar with ML model deployment, you may know about PMML and PFA. PMML and PFA are existing standards for packaging ML models for deployment.

“In addition to applications in the military domain, coresets and distributed machine learning in general are also widely applicable in the commercial setting, where multiple organizations would ...

Aaron Saxton from NCSA gave this talk at the Blue Waters Symposium. "Blue Waters currently supports TensorFlow 1.3, PyTorch 0.3.0 and we hope to support CNTK and Horovod in the near future. This ...

Over the last couple of decades, those looking for a cluster management platform faced no shortage of choices. However, large-scale clusters are being asked to operate in different ways, namely by ...

At its core, what Run.AI offers is a new virtualization layer for distributed machine learning tasks that can across a large number of machines.

While there are many more machine learning frameworks available than are mentioned in this article, the frameworks mentioned here are well-supported and robust, and will help users to succeed in their ...

What would be your advice to a software engineer who wants to learn machine learning? This question was originally answered on Quora by Alex Smola.

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

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 ...