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Seo Master present to you:
By Ricardo Cabello (aka Mr.doob), Google Data Arts Team



Last August, we released “The Wilderness Downtown”, a music experience that brought together HTML5 and JavaScript, as well as the Google Maps and Street View APIs. Today, we’re excited to introduce our newest project, “3 Dreams of Black”, made with WebGL, HTML5 and JavaScript, and designed for modern browsers like Google Chrome. We previewed this music experience yesterday with web developers at Day 2 of the Google I/O keynote.

“3 Dreams of Black” takes you on a journey through three dream worlds constructed through a combination of rich 2D drawings and animations interwoven with interactive 3D sequences. Throughout various points in these dream worlds, you can grab your mouse and guide the protagonist’s point of view through the experience. This music experience also includes a 3D model creator that allows you to create your own relics and contribute to the shared collective dream. “3 Dreams of Black” is written and directed by Chris Milk, and developed with a few folks here at Google.



In creating “3 Dreams of Black”, we’ve had the opportunity to build many tools, libraries, and models. We’ve fully opened up the source code and made it available for web developers to tinker with us at www.ro.me/tech. In addition to the code, a few other highlights include eight WebGL demos, a fun model viewer for interacting with some of the animals from the web experience, and the Three.js 3D library used for building the experience. In addition, a big part of the project was to define a good pipeline for getting all the animals and environment models right in WebGL -- for this, we extended Blender with custom plugins so we could manipulate and export the data with ease.







“3 Dreams of Black” is set to the song “Black” off the album ROME, presented by Danger Mouse & Daniele Luppi, featuring Jack White and Norah Jones on vocals, to be released soon on the record label EMI. Because it’s built in WebGL, it requires a WebGL-supported browser like Chrome, and Windows Vista / Mac OS X 10.6 and above to help ensure that your computer has the necessary and up-to-date graphics drivers. We hope you’ll take a moment to dive into the experience and the developer resources at www.ro.me

Ricardo Cabello is a designer/developer in the Google Data Arts Team. He is the creator of several popular Chrome Experiments, including Google Gravity, Ball Pool, and Harmony.

Posted by Scott Knaster, Editor

2013, By: Seo Master

Seo Master present to you:

2013, By: Seo Master

Seo Master present to you: By Michael Manoochehri, Developer Programs Engineer, Google Cloud Platform

Cross-posted with the Google Cloud Platform Blog

After last year's Google I/O conference, the Google Cloud Platform Developer Relations team started to think about how attendees experienced the event. We wanted to help attendees gain more insight about the conference space and the environment itself. Which developer Sandboxes were the busiest? Which were the loudest locations, and which were the best places to take a quick nap? We think about data problems all the time, and this looked like an interesting big data challenge that we could try to solve. So this year, we decided to try to answer our questions with a project that's a bit different, kind of futuristic, and maybe a little crazy.

Since we love open source hardware hacking as much as we love to share open source code, we decided to team up with the O'Reilly Data Sensing Lab to deploy hundreds of Arduino-based environmental sensors at Google I/O 2013. Using software built with the Google Cloud Platform, we'll be collecting and visualizing ambient data about the conference, such as temperature, humidity, air quality, in real time! Altogether, the sensors network will provide over 4,000 continuous data streams over a ZigBee mesh network managed by Device Cloud by Etherios.

In addition, our motes will be able to detect fluctuations in noise level, and some will be attached to footstep counters, to understand collective movement around the conference floor. Of course, since a key goal of Google I/O is to promote innovation in the open, the project's Cloud Platform code, the Arduino hardware designs, and even the data collected, will be open source and available online after the conference.

Google Cloud Platform, which provides the software backend for this project, has a variety of features for building applications that collect and process data from a large number of client devices - without having to spend time managing hardware or infrastructure. Google App Engine Datastore, along with Cloud Endpoints, provides a scalable front end API for collecting data from devices. Google Compute Engine is used to process and analyse data with software tools you may already be familiar with, such as R and Hadoop. Google BigQuery provides fast aggregate analysis of terabyte datasets. Finally, App Engine's web application framework is able to surface interactive visualizations to users.

Networked sensor technology is in the early stages of revolutionizing business logistics, city planning, and consumer products. We are looking forward to sharing the Data Sensing Lab with Google I/O attendees, because we want to show how using open hardware together with the Google Cloud Platform can make this technology accessible to anyone.

With the help of the Google Maps DevRel team, we'll be displaying visualizations of interesting trends on several screens around the conference. Members of the Data Sensing Lab will be on hand in the Google I/O Cloud Sandbox to show off prototypes and talk to attendees about open hardware development. Lead software developer Amy Unruh and Kim Cameron from the Cloud Platform Developer Relations team will talk about how we built the software involved in this project in a talk called "Behind the Data Sensing Lab". In case you aren't able to attend Google I/O 2013, this session will be available online after the conference. Learn more about the Google Cloud Platform on our site, and to dive in to building applications, check out our developer documentation.


Michael Manoochehri is a Developer Programs Engineer supporting the Google Cloud Platform. He is passionate about making cloud computing and data analysis universally accessible and useful.

Posted by Scott Knaster, Editor

2013, By: Seo Master