Jamboard now available for purchase in Australia and New Zealand

Over the past year, we’ve announced that Jamboard, our cloud-based, collaborative whiteboard, is available for purchase in an ever-growing list of countries such as the United States, Canada, the UK, and select parts of Europe. We’re now expanding that list further, bringing Jamboard to Australia and New Zealand.

G Suite customers in Australia and New Zealand can now purchase Jamboard for $7,999 (AUD), which includes two styluses, an eraser, and a wall mount. See the table below for pricing.

Keep in mind that a G Suite license is required to use Jamboard so that you can access files from Drive, use them in your brainstorms, and come back to your work later.



G Suite customers based in Australia and New Zealand can contact their Google Cloud sales rep, our distributor, BenQ, or visit our website to learn more about how to start jamming with colleagues today.

Additional information about Jamboard
In addition to the Jamboard device, the Jamboard app is available on Android and iOS for all G Suite customers. When used on a tablet, the Jamboard app allows users to experience similar features as they would on the Jamboard device. On a smartphone, the app functions as a companion for the Jamboard device.

Usage of the Jamboard app is controlled by a service on/off switch in the Admin console, and is off by default.

Check out the Help Center for more information, including an FAQ section.

Launch Details
Release track:
Jamboard devices now available for purchase in Australia and New Zealand

Editions:
G Suite Basic, Business, Enterprise, and Education customers

Impact:
Admins only

Action:
Admin action suggested/FYI

More Information
Help Center
FAQ

Launch release calendar
Launch detail categories
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YouTube Music and YouTube Premium Launch in Australia and 16 Other Countries: It’s All Here

The wait is over! Starting today, YouTube Music is available to everyone in Australia, New Zealand, the U.S, Mexico and South Korea* in addition to 12 new countries including Austria, Canada, Finland, France, Germany, Ireland, Italy, Norway, Russia, Spain, Sweden, and the United Kingdom. Now fans around the world can find more of the music they love and effortlessly discover new favourites.
YouTube Music is a new music streaming service built on top of all the music on YouTube that you can’t find anywhere else - personalised and all simply organised in one new app and web player. 
Here’s how it all comes together:
  1. It’s ALL here. Not just music videos, but official albums, singles, remixes, live performances, covers and hard-to-find music you can only get on YouTube. 
  2. Recommendations built for you. A home screen that dynamically adapts to provide recommendations based on the artists and songs you’ve played before, where you are and what you’re doing. Chilling at the beach with friends? Need some motivation? The right music is right here, built just for you. 
  3. Thousands of playlists across any genre, mood or activity. Try “The Happiest Pop” for brighter tunes on a cloudy day, The Pop Hotlist for the biggest hits around the world or Independent Women of Australia for the best tunes from the finest female-centric alternative artists Down Under. 
  4. Smart search so we’ll find the song, even if you can’t remember what it’s called. “That space-themed Spice Girls song in the desert.” Here you go. You can also search by lyrics (even if they’re wrong). It’s “Hold me closer, Tony Danza”, right? 
  5. The hottest videos. We’ll keep you on top of what’s hot! The hottest videos in the world right now are right there, on their own dedicated Hotlist screen. Today in Australia, it features “I’m Upset” by Drake, while in the U.S., it’s “Nervous” by Shawn Mendes, in the U.K., it’s “Drippy” by IAMDDB, and in France, it’s “When we ride” by Møme
  6. Ad-free listening, downloads and more. Get YouTube Music Premium to listen ad-free, in the background and on-the-go with downloads. Plus, your Offline Mixtape automatically downloads songs you love just in case you forgot to. For a limited time, get three months free of YouTube Music Premium, ($11.99 per month after, $17.99 per month for a Family Plan)*. 

YouTube Premium also launches today
Starting today, YouTube Premium (formerly YouTube Red) will be available in 17 countries, providing members with the benefits of Music Premium, plus ad-free, background, and downloads across all of YouTube. YouTube Premium members also get access to the full slate of YouTube Originals shows and movies including the hit series Cobra Kai, Impulse, F2 Finding Football and The Sidemen Show. For a limited time, get three months free of YouTube Premium here, ($14.99 per month after, $22.99 per month for a Family Plan)*.
Current YouTube Red and Google Play Music members (including family plans) in Australia, New Zealand, the U.S., and Mexico will automatically receive access to YouTube Premium at their current price. Google Play Music subscribers in all other countries will automatically receive access to YouTube Music Premium at their current price as it becomes available there. Nothing is changing with Google Play Music - you'll still be able to access all of your purchased music, uploads and playlists in Google Play Music just like always.

Try YouTube Music and YouTube Premium 
Get the new YouTube Music from the Play Store and App Store today or check out the brand new web player at music.youtube.com. You can sign up for YouTube Premium at youtube.com/premium
*YouTube Music Premium is $11.99 per month and YouTube Premium is $14.99 per month for individual memberships in Australia. Pricing and Family Plan availability varies by country. Only first-time YouTube Premium, YouTube Music Premium, YouTube Red and Google Play subscribers are eligible for free trials. South Korea will only offer YouTube Premium at the current price of YouTube Red. 
Posted by Team YouTube

Five new features to try in Messages

Over the past few years, we’ve been working on improving the messaging experience on Android—from working with carriers to upgrade their networks to RCS to building new features. With Android Messages, we're creating a messaging experience that's available on multiple devices, lets you share whatever you want to share, and makes it easy to take action on your messages with Google AI. We’ve started making some of these updates to the Messages app and rounded up what’s new to show how you can use these features:

1. Send and receive texts from your computer

Today and over the next week, we’ll begin rolling out Messages for web, one of our top-requested features that lets you send and receive texts from your computer. To get started, select “Messages for web” in the menu of your Messages mobile app. On Messages for web, you can send stickers, emoji, and attach images in addition to sending text.

1

2. Search for and send the perfect GIF

Sometimes, a GIF is worth a thousand words and conveys exactly what you mean. Now, you can tap the + button on the left hand side of the compose bar to search for GIFs for your conversation.

2

3. Use Smart Reply to respond with a tap

Smart Reply saves you time when you’re messaging on the go by suggesting quick text or emoji responses to your messages. Once you’ve tapped a Smart Reply suggestion, it sends immediately. Smart Replies will be available in English for now, and come to more languages over time.

3

4. Preview links within your conversations

The next time your friend sends you a link to an article or a new restaurant, you’ll have an idea of what you’re about to click on. You’ll see an inline preview of the link, directly in your conversation.

4

5. Copy one-time passwords with one tap

Now, when you receive a message with a one-time password or code from a secure site —such as your bank—that you’re logging into, you can save time by copying that password directly from the message with a tap.

5

Messages for web is starting to roll out today, with the rest of these features coming to the Messages app over the next week. You can try them out by updating your app to the latest version or by downloading Messages here.

Google at CVPR 2018

Posted by Christian Howard, Editor-in-Chief, Google AI Communications

This week, Salt Lake City hosts the 2018 Conference on Computer Vision and Pattern Recognition (CVPR 2018), the premier annual computer vision event comprising the main conference and several co-located workshops and tutorials. As a leader in computer vision research and a Diamond Sponsor, Google will have a strong presence at CVPR 2018 — over 200 Googlers will be in attendance to present papers and invited talks at the conference, and to organize and participate in multiple workshops.

If you are attending CVPR this year, please stop by our booth and chat with our researchers who are actively pursuing the next generation of intelligent systems that utilize the latest machine learning techniques applied to various areas of machine perception. Our researchers will also be available to talk about and demo several recent efforts, including the technology behind portrait mode on the Pixel 2 and Pixel 2 XL smartphones, the Open Images V4 dataset and much more.

You can learn more about our research being presented at CVPR 2018 in the list below (Googlers highlighted in blue)

Organization
Finance Chair: Ramin Zabih

Area Chairs include: Sameer Agarwal, Aseem Agrawala, Jon Barron, Abhinav Shrivastava, Carl Vondrick, Ming-Hsuan Yang

Orals/Spotlights
Unsupervised Discovery of Object Landmarks as Structural Representations
Yuting Zhang, Yijie Guo, Yixin Jin, Yijun Luo, Zhiyuan He, Honglak Lee

DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor
Tao Yu, Zerong Zheng, Kaiwen Guo, Jianhui Zhao, Qionghai Dai, Hao Li, Gerard Pons-Moll, Yebin Liu

Neural Kinematic Networks for Unsupervised Motion Retargetting
Ruben Villegas, Jimei Yang, Duygu Ceylan, Honglak Lee

Burst Denoising with Kernel Prediction Networks
Ben Mildenhall, Jiawen Chen, Jonathan BarronRobert Carroll, Dillon Sharlet, Ren Ng

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob, Skirmantas Kligys, Bo Chen, Matthew Tang, Menglong Zhu, Andrew Howard, Dmitry KalenichenkoHartwig Adam

AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
Chunhui Gu, Chen Sun, David Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik

Focal Visual-Text Attention for Visual Question Answering
Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann

Inferring Light Fields from Shadows
Manel Baradad, Vickie Ye, Adam Yedida, Fredo Durand, William Freeman, Gregory Wornell, Antonio Torralba

Modifying Non-Local Variations Across Multiple Views
Tal Tlusty, Tomer Michaeli, Tali Dekel, Lihi Zelnik-Manor

Iterative Visual Reasoning Beyond Convolutions
Xinlei Chen, Li-jia Li, Fei-Fei Li, Abhinav Gupta

Unsupervised Training for 3D Morphable Model Regression
Kyle Genova, Forrester Cole, Aaron Maschinot, Daniel Vlasic, Aaron Sarna, William Freeman

Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc Le

The iNaturalist Species Classification and Detection Dataset
Grant van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alex Shepard, Hartwig Adam, Pietro Perona, Serge Belongie

Learning Intrinsic Image Decomposition from Watching the World
Zhengqi Li, Noah Snavely

Learning Intelligent Dialogs for Bounding Box Annotation
Ksenia Konyushkova, Jasper Uijlings, Christoph Lampert, Vittorio Ferrari

Posters
Revisiting Knowledge Transfer for Training Object Class Detectors
Jasper Uijlings, Stefan Popov, Vittorio Ferrari

Rethinking the Faster R-CNN Architecture for Temporal Action Localization
Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David Ross, Jia Deng, Rahul Sukthankar

Hierarchical Novelty Detection for Visual Object Recognition
Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee

COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar, Jasper Uijlings, Vittorio Ferrari

Appearance-and-Relation Networks for Video Classification
Limin Wang, Wei Li, Wen Li, Luc Van Gool

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
Ariel Gordon, Elad Eban, Bo Chen, Ofir Nachum, Tien-Ju Yang, Edward Choi

Deformable Shape Completion with Graph Convolutional Autoencoders
Or Litany, Alex Bronstein, Michael Bronstein, Ameesh Makadia

MegaDepth: Learning Single-View Depth Prediction from Internet Photos
Zhengqi Li, Noah Snavely

Unsupervised Discovery of Object Landmarks as Structural Representations
Yuting Zhang, Yijie Guo, Yixin Jin, Yijun Luo, Zhiyuan He, Honglak Lee

Burst Denoising with Kernel Prediction Networks
Ben Mildenhall, Jiawen Chen, Jonathan Barron, Robert Carroll, Dillon Sharlet, Ren Ng

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob, Skirmantas Kligys, Bo Chen, Matthew Tang, Menglong Zhu, Andrew Howard, Dmitry Kalenichenko, Hartwig Adam

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Tianfan Xue, Joshua Tenenbaum, William Freeman

Sparse, Smart Contours to Represent and Edit Images
Tali Dekel, Dilip Krishnan, Chuang Gan, Ce Liu, William Freeman

MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge Belongie

Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Sung Jin Hwang, George Toderici, Troy Chinen, Joel Shor

MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen

ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans 
Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Juergen Sturm, Matthias Nießner

Sim2Real View Invariant Visual Servoing by Recurrent Control
Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine

Alternating-Stereo VINS: Observability Analysis and Performance Evaluation
Mrinal Kanti Paul, Stergios Roumeliotis

Soccer on Your Tabletop
Konstantinos Rematas, Ira Kemelmacher, Brian Curless, Steve Seitz

Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
Reza Mahjourian, Martin Wicke, Anelia Angelova

AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
Chunhui Gu, Chen Sun, David Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik

Inferring Light Fields from Shadows
Manel Baradad, Vickie Ye, Adam Yedida, Fredo Durand, William Freeman, Gregory Wornell, Antonio Torralba

Modifying Non-Local Variations Across Multiple Views
Tal Tlusty, Tomer Michaeli, Tali Dekel, Lihi Zelnik-Manor

Aperture Supervision for Monocular Depth Estimation
Pratul Srinivasan, Rahul Garg, Neal Wadhwa, Ren Ng, Jonathan Barron

Instance Embedding Transfer to Unsupervised Video Object Segmentation
Siyang Li, Bryan Seybold, Alexey Vorobyov, Alireza Fathi, Qin Huang, C.-C. Jay Kuo

Frame-Recurrent Video Super-Resolution
Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown

Weakly Supervised Action Localization by Sparse Temporal Pooling Network
Phuc Nguyen, Ting Liu, Gautam Prasad, Bohyung Han

Iterative Visual Reasoning Beyond Convolutions
Xinlei Chen, Li-jia Li, Fei-Fei Li, Abhinav Gupta

Learning and Using the Arrow of Time
Donglai Wei, Andrew Zisserman, William Freeman, Joseph Lim

HydraNets: Specialized Dynamic Architectures for Efficient Inference
Ravi Teja Mullapudi, Noam Shazeer, William Mark, Kayvon Fatahalian

Thoracic Disease Identification and Localization with Limited Supervision
Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-jia Li, Fei-Fei Li

Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee

Deep Semantic Face Deblurring
Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang

Unsupervised Training for 3D Morphable Model Regression
Kyle Genova, Forrester Cole, Aaron Maschinot, Daniel Vlasic, Aaron Sarna, William Freeman

Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc Le

Learning Intrinsic Image Decomposition from Watching the World
Zhengqi Li, Noah Snavely

PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection
Nian Liu, Junwei Han, Ming-Hsuan Yang

Tutorials
Computer Vision for Robotics and Driving
Anelia Angelova, Sanja Fidler

Unsupervised Visual Learning
Pierre Sermanet, Anelia Angelova

UltraFast 3D Sensing, Reconstruction and Understanding of People, Objects and Environments
Sean Fanello, Julien Valentin, Jonathan Taylor, Christoph Rhemann, Adarsh Kowdle, Jürgen SturmChristine Kaeser-Chen, Pavel Pidlypenskyi, Rohit Pandey, Andrea Tagliasacchi, Sameh Khamis, David Kim, Mingsong Dou, Kaiwen Guo, Danhang Tang, Shahram Izadi

Generative Adversarial Networks
Jun-Yan Zhu, Taesung Park, Mihaela Rosca, Phillip Isola, Ian Goodfellow

Source: Google AI Blog


Getting started with App Maker: a detailed walkthrough



We recently made App Maker generally available. App Maker is a new, low-code development environment for G Suite that lets you build a wide range of apps for your business and customize processes to help you be more efficient.

Building apps in App Maker is easy. You can declaratively define your app’s backend data, visually design a UI, add custom behaviors with Code (optional) and publish your app quickly.

To get familiar, here’s a quick walkthrough of App Maker’s main app development features.

Building your data backend 

With App Maker, backend Data Models are created in a declarative manner so you don’t have to worry about writing a lot of database code. Supported App Maker Data Models include:
  • Cloud SQL - connects to Google Cloud SQL (GCP account required). 
  • Calculated - a computed virtual model via Scripting or SQL. It can also connect to external data (JDBC, REST). 
  • Directory - fetches your organizational data.

To build Data Model Fields you can either build them from scratch, or use an existing CSV or via a Google Sheet.
After defining the structure of your Data Model you can insert validation rules to limit what data can be saved.
Building relations (one-to-many, many-to-many, etc.) between data models is easily doable in the App Maker Relation Editor.
The App Maker Model editor also provides a variety of other features that include setting up custom queries and filters, securing data access based on Roles as well as triggering Data Events based execution. See the Data Models documentation for more info.

Designing your UI 

App Maker helps you streamline UI development by providing a visual design environment where you can drag and drop UI elements (Widgets) onto a canvas and then set the properties of the widgets using a Property Editor. Or if you want, there are also helpful UI generation wizards that can create ready-made UI structures, including Edit or Insert Forms, Tables and a variety of Charts to further speed UI development.
The look and feel of the UI is governed by CSS, where the default is Google's Material design standard. A variety of style variants are available in the editor so that the author can easily toggle how a widget is rendered via a dropdown menu or direct CSS editing.

The UI is connected to backend data via App Maker’s data-binding feature which allows an author to connect widget properties to data model fields.

The combination of visual design, databinding, CSS UI Styling with, Google Material as a default, all contribute to a productive UI creation experience. For full coverage of App Maker UI concepts. see the UI documentation.

Enrich your apps with code 

Although App Maker does all the heavy lifting when it comes to database communications and UI design, sometimes you need to customize application behaviors. This is where App Maker’s scripting feature comes in.

The scripting language used by App Maker is JavaScript, which is used in both the Browser (Client) or Server. The Server’s runtime environment is Apps Script which provides access to a vast library of G Suite services for common operations with Gmail, Docs, Sheets, Calendar and other services.

App Maker streamlines the process of writing code by providing an intuitive Code Editor that’s equipped with helpful Code Completion.
Plus, App Maker provides syntax error highlighting along with an interactive warning/error indication feature. For more information on App Maker coding topics, see these Scripting Docs.

Previewing and publishing your app 

Finally, App Maker provides an easy-to-use Preview feature where you can quickly test your app on your own. When you’re ready to share your app with users, App Maker provides a comprehensive Publish (or Deployment) feature. To learn more about previewing and publishing apps, see the publishing guide.

Try App Maker today 

Now that you have a general idea of App Maker’s features, have a go at the App Maker Codelab. Note: You’ll need to have App Maker enabled on your domain via G Suite Business/Enterprise or G Suite for Education.
To learn more about App Maker, visit developers.google.com/appmaker or stay tuned for more information!

#IMakeApps: Getting to know the people behind the apps

App makers come up with ideas and make them a reality. They design, code and create entertaining experiences from nothing. But most importantly, app makers are exceptional individuals with different backgrounds, interests and dreams.

To celebrate their hard work, creativity and entrepreneurial spirit, starting this week we’ll feature founders, product managers, designers and developers from the Android community around the world. We’ll showcase their passions and also hear about what they do when they step away from their computers.

But before we get started—are you an app or game maker? If so, we want to hear from you. Post on your social channels using #IMakeApps, sharing the app or game you work on, your role in its creation, and an image that best depicts who you are outside of work. We’ll be picking and sharing some of our favorites on our channels. And stay tuned for more #IMakeApps stories on g.co/play/imakeapps.

To kick things off, we’ll hear from our first app maker: Hans Jørgen Wiberg, a visually impaired chair restorer from Denmark and co-founder and inventor of Be My Eyes.

Hans Jørgen Wiberg, Chair restorer, Denmark

When and why did you get involved with technology?
At 25 I was diagnosed with an eye disease, so I gave up my plans to take over my family’s farm. Instead, I studied for a degree in philosophy and went on to restore chairs. So I’m not a techie and never thought I’d become one. I then came up with the idea for Be My Eyes in 2012 and that was the beginning of my tech journey as more than a smartphone user.

How did you come up with the idea for the app?
I am going blind myself and was also working for the Danish blind association as a consultant. Some of my blind friends were reaching out to friends and family via video calling services to ask for visual assistance but they always had to decide exactly who to call—this sparked the idea of Be My Eyes and a community of volunteers who could step in.

How did you kick off the project?
I took the idea to an event looking for support to turn it into a reality. I was lucky enough to be able to form a team of interested people; they have been working with me on this project ever since. The first year we spent raising the money, which allowed me to start hiring professional coders to build the app.

What has been your experience with Android & Google Play?
Since we launched our Android version in October 2017 we have had some very interesting numbers in places like Brazil and India and we consider Android a key factor in our goal of reaching the 90 percent of blind people living in low income settings. It was also great to win the Google Play Award to the best accessibility app earlier this year.

How has your app business grown since you started?
Be My Eyes is my only app. It has grown enormously since launch and it seems to be picking up speed over the last few months where we have increased +20%. Our network of over 1 million sighted volunteers now help visually impaired people in over 150 countries and over 180 languages.  

Beta Channel Update for Chrome OS

The Beta channel has been updated to 67.0.3440.25 (Platform version: 10718.22.0) for most Chrome OS devices. This build contains a number of bug fixes, security updates and feature enhancements. A list of changes can be found here.

If you find new issues, please let us know by visiting our forum or filing a bug. Interested in switching channels? Find out how. You can submit feedback using ‘Report an issue...’ in the Chrome menu (3 vertical dots in the upper right corner of the browser).

Bernie Thompson
Google Chrome

YouTube Music and YouTube Premium Launch in Canada: It’s All Here

The wait is over! Starting today, YouTube Music is available to everyone in Canada. Now Canadian fans can find more of the music they love and effortlessly discover new favourites.

YouTube Music is a new music streaming service built on top of all the music on YouTube that you can’t find anywhere else - personalized & all simply organized in one place.

Here’s how it all comes together:

  1. It’s ALL here. Not just music videos, but official albums, singles, remixes, live performances, covers and hard-to-find music you can only get on YouTube.
  2. Recommendations built for you. A home screen that dynamically adapts to provide recommendations based on the artists and songs you’ve played before, where you are and what you’re doing. Chilling at the beach? Need some motivation? The right music is right here, built just for you.
  3. Thousands of playlists across any genre, mood or activity. Try “A Dose of Sun” for brighter tunes on a cloudy day, “The Pop Hotlist” for the biggest hits around the world or Distrito Latino for Latin pop hits of the moment.
  4. Smart search so we’ll find the song, even if you can’t remember what it’s called. “That space-themed Spice Girls song in the desert.” Here you go. You can also search by lyrics (even if they’re wrong). It’s “Hold me closer, Tony Danza,” right?
  5. The hottest videos. We’ll keep you on top of what’s hot! The hottest videos in the world right now are right there, on their own dedicated Hotlist screen. So you can go check out that brand-new Degrassi-themed Drake video.
  6. Ad-free listening, downloads and more. Get YouTube Music Premium to listen ad-free, in the background and on-the-go with downloads. Plus, your Offline Mixtape automatically downloads songs you love just in case you forgot to. For a limited time, get three months free of YouTube Music Premium here, ($9.99 per month after, $14.99 per month for a Family Plan)*.

YouTube Premium also launches today
Starting today, YouTube Premium (formerly YouTube Red) will also be available in Canada, providing members with the benefits of Music Premium, plus ad-free, background, and downloads across all of YouTube. YouTube Premium members also get access to the full slate of YouTube Originals shows and movies including the hit series Cobra Kai, Impulse, F2 Finding Football and The Sidemen Show. For a limited time, get three months free of YouTube Premium here, ($11.99 per month after, $17.99 per month for a Family Plan)*.

Current Google Play Music subscribers in Canada will automatically receive access to YouTube Music Premium at their current price as it becomes available there. Nothing is changing with Google Play Music - you'll still be able to access all of your purchased music, uploads and playlists in Google Play Music just like always.
Try YouTube Music and YouTube Premium
Get the new YouTube Music from the Play Store and App Store today or check out the brand new web player at music.youtube.com. You can sign up for YouTube Premium at youtube.com/premium.



*YouTube Music Premium is $9.99 per month and YouTube Premium is $11.99 per month for individual memberships in Canada. 

YouTube Music and YouTube Premium launch in 17 countries: It’s all here

The wait is over! Starting today, YouTube Music is available to everyone in the U.S, Australia, New Zealand, Mexico and South Korea* in addition to 12 new countries including Austria, Canada, Finland, France, Germany, Ireland, Italy, Norway, Russia, Spain, Sweden, and the United Kingdom. Now fans around the world can find more of the music they love and effortlessly discover new favorites.

YouTube Music is a new music streaming service built on top of all the music on YouTube that you can’t find anywhere else - personalized and all simply organized in one new app and web player.

Here’s how it all comes together:
  1. It’s ALL here. Not just music videos, but official albums, singles, remixes, live performances, covers and hard-to-find music you can only get on YouTube.
  2. Recommendations built for you. A home screen that dynamically adapts to provide recommendations based on the artists and songs you’ve played before, where you are and what you’re doing. Chilling at the beach? Need some motivation? The right music is right here, built just for you.
  3. Thousands of playlists across any genre, mood or activity. Try “A Dose of Sun” for brighter tunes on a cloudy day, “The Pop Hotlist” for the biggest hits around the world or “Distrito Latino” for Latin pop hits of the moment.
  4. Smart search so we’ll find the song, even if you can’t remember what it’s called. “That space-themed Spice Girls song in the desert.” Here you go. You can also search by lyrics (even if they’re wrong). It’s “Hold me closer, Tony Danza,” right?
  5. The hottest videos. We’ll keep you on top of what’s hot! The hottest videos in the world right now are right there, on their own dedicated Hotlist screen. Today in the U.S., it features “Nervous” by Shawn Mendes, in the U.K, it’s “Drippy” by IAMDDB, and in France, it’s "Fais moi la passe" by JUL.
  6. Ad-free listening, downloads and more. Get YouTube Music Premium to listen ad-free, in the background and on-the-go with downloads. Plus, your Offline Mixtape automatically downloads songs you love just in case you forgot to. For a limited time, get three months free of YouTube Music Premium here, ($9.99 per month after, $14.99 per month for a Family Plan)*.

YouTube Premium also launches today
Starting today, YouTube Premium (formerly YouTube Red) will be available in 17 countries, providing members with the benefits of Music Premium, plus ad-free, background, and downloads across all of YouTube. YouTube Premium members also get access to the full slate of YouTube Originals shows and movies including the hit series Cobra Kai, Impulse, F2 Finding Football and The Sidemen Show. For a limited time, get three months free of YouTube Premium here, ($11.99 per month after, $17.99 per month for a Family Plan)*.

Current YouTube Red and Google Play Music members (including family plans) in the U.S., Australia, New Zealand, and Mexico will automatically receive access to YouTube Premium at their current price. Google Play Music subscribers in all other countries will automatically receive access to YouTube Music Premium at their current price as it becomes available there. Nothing is changing with Google Play Music - you'll still be able to access all of your purchased music, uploads and playlists in Google Play Music just like always.



Try YouTube Music and YouTube Premium
Get the new YouTube Music from the Play Store and App Store today or check out the brand new web player at music.youtube.com. You can sign up for YouTube Premium at youtube.com/premium.

*YouTube Music Premium is $9.99 per month and YouTube Premium is $11.99 per month for individual memberships in the U.S. Pricing and Family Plan availability varies by country. South Korea will only offer YouTube Premium at the current price of YouTube Red.

Source: YouTube Blog


Four new ways to save data with Datally

Daily Limit and Guest Mode put limits on how much data you and your guests can use on your phone


Since we launched Datally last year, people around the world have used the Android app to better understand, control and save data. The average user has saved 21 percent of their mobile data—that’s like using data Monday to Thursday, and having Friday covered by Datally.


Here are four ways Datally can help you save even more:

Guest Mode–stay in control when lending your phone

Ever have a family member or friend borrow your phone, and then see they’ve used a lot more data than you expected? We love our family, but data hogging is not cool. A new feature, Guest Mode, lets you set the amount of data you’re okay to let another person use, before you hand over your phone.

Daily Limit–decide how much data to use everyday

It’s too easy to accidentally burn through your entire data pack. Daily Limit helps you control your own data use. You can set the maximum amount of data you want to spend per day, and get warnings when you’re about to bust through your limit. You can choose to block data for the rest of the day or keep going.

Unused Apps–stop your phone from leaking data

Did you know that for many people, 20 percent of mobile data is used in the background by apps they haven’t opened in over a month? Unused Apps shows you the apps that you’re not using, but that are taking up your precious data. With one tap, you can uninstall an unused app and keep your phone from leaking data.

Wi-Fi Map–an even easier way to find Wi-Fi

The Wi-Fi Map shows you all of the nearby Wi-Fi networks, so you can find the best quality network nearby. More Wi-Fi should help you continue surfing the net without worrying about how much it’s eating into your data plan. You can even rate that network after you connect.


Datally WiFi

Stop your phone leaking data with Unused Apps and find Wi-Fi nearby with Wi-Fi Map

All of these new features are rolling out today.