A new admin privilege added in Google Docs, Sheets, Slides, and Forms, helps in managing custom templates without provisioning the full Drive and Docs privilege to admins who want the ability to moderate and manage templates.
With this launch, admins can be granted “a new Docs Templates privilege,” which gives them an “ability to approve templates and modify template settings in Admin console,” but not “the authority to change other Drive, Docs, Sheets, Slides, and Forms settings.”
Admins who retain full Drive and Docs privilege will continue to be able to manage templates.
Custom templates in Google Docs, Sheets, Slides, and Forms, was introduced in November 2016, allowing teams to spend less time formatting and more time brainstorming, collaborating, and sharing their ideas.
In addition, the following optional controls in Admin console to G Suite Business, Education, and Enterprise customers are available as well including:
- Moderated – require that user-submitted templates be approved by admins with the Drive and Docs admin privilege
- Restricted – restrict template submission to admins with the Drive and Docs admin privilege
Google is also partnering with Telenor to launch of Rich Communications Services (RCS) messaging to 214 million subscribers across Europe and Asia. “Subscribers will have access to advanced messaging features as a standard part of their Android device,” Google said.
The launch will offer features like “group chat, high-res photo sharing, read receipts, and more,” will come standard on Android.
Subscribers will have their SMS experience upgraded through the Messenger app for Android devices, developed by Google.
The service will be powered by the Jibe RCS cloud from Google.
At the first annual TensorFlow Developer Summit, hosted in Mountain View, Google launched TensorFlow 1.0, highlights include:
- Python APIs have been changed to resemble NumPy more closely. For this and other backwards-incompatible changes made to support API stability going forward, please use our handy migration guide and conversion script.
- Experimental APIs for Java and Go
- Higher-level API modules tf.layers, tf.metrics, and tf.losses – brought over from tf.contrib.learn after incorporating skflow and TF Slim
- Experimental release of XLA, a domain-specific compiler for TensorFlow graphs, that targets CPUs and GPUs. XLA is rapidly evolving – expect to see more progress in upcoming releases.
- Introduction of the TensorFlow Debugger (tfdbg), a command-line interface and API for debugging live TensorFlow programs.
- New Android demos for object detection and localization, and camera-based image stylization.
- Installation improvements: Python 3 docker images have been added, and TensorFlow’s pip packages are now PyPI compliant. This means TensorFlow can now be installed with a simple invocation of pip install tensorflow.