Itron's Nick Tumilowicz asserts a need for an integrated approach to grid management that processes and acts on real-time ...

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

With the future of AI built on distributed computing across data centers, Jericho4 strikes a crucial balance between these elements.

Google hopes that with ope source availability and distributed computing support, researchers, engineers and hobbyists can help speed the machine’s learning along and help get it to a much ...

Native integration with ZEDEDA’s orchestration solution for the distributed edge enables end-to-end remote management of the entire Azure IoT Edge software stack on distributed edge computing ...

The development will also be focused on distributed computing: with DTensor, the models will be trained on multiple devices to unlock the future ultra-large model training and deployment.