Anyscale today announced a partnership with Microsoft and the private preview of a new AI-native compute service, co-developed with Microsoft and delivered as a fully managed, first-party offering on ...

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...

Anyscale Inc., creator of the open-source distributed computing platform Ray, today announced a new partnership with ...

The open source AI ecosystem took a decisive leap forward today as the PyTorch Foundation announced that Ray, the distributed computing framework originally developed by Anyscale, has officially ...

The world of distributed computing took on a new profile this year when Folding@home, a 20-year-old distributed computing project, found itself picking up thousands of new volunteers to help COVID-19 ...

This course is available on the MPA in Data Science for Public Policy, MSc in Applied Social Data Science, MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Geographic Data ...

The difference between distributed computing and concurrent programming is a common area of confusion as there is a significant amount of overlap between the two when you set out to accomplish ...

Is it better to be as accurate as possible in machine learning, however long it takes, or pretty darned accurate in a really short amount of time? For DeepMind researchers Peter Buchlovsky and ...

In this video from EuroPython 2019, Pierre Glaser from INRIA presents: Parallel computing in Python: Current state and recent advances. Modern hardware is multi-core. It is crucial for Python to ...