Cloud computing is increasingly distributed, which creates a major leap in complexity, driving the need for AI-based automation.

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.

TensorFlow 0.8 adds distributed computing support to speed up the learning process for Google's machine learning system.

Anyscale, a startup founded by a team out of UC Berkeley that created the Ray open-source Python framework for running distributed computing projects, has raised $40 million.

So what’s the difference? At a fundamental level, distributed computing and concurrent programming are simply descriptive terms that refer to ways of getting work done at runtime (as is parallel ...

In a rapidly evolving workforce, mastering the skills that matter most can significantly enhance your chances of finding your dream remote position. With Python, AI tools, and SQL leading the charge, ...

Anyscale, from the creators of the Ray-distributed computing project, launches with $20.6M led by a16z Ingrid Lunden 6:29 AM PST · December 17, 2019 ...

It is crucial for Python to provide high-performance parallelism. This talk will expose to both data-scientists and library developers the current state of affairs and the recent advances for parallel ...