The advent of next-generation DNA sequencing technologies is revolutionizing life sciences research by routinely generating extremely large datasets. Tom White explains how big data tools developed to handle large-scale Internet data (like Hadoop) help scientists effectively manage this new scale of data and also enable addressing a host of questions that were previously out of reach.

TensorFlow is an open source software library for numerical computation with a focus on machine learning. Its flexible architecture makes it great for research and production deployment. Sherry Moore offers a high-level introduction to TensorFlow and explains how to use it to train machine-learning models to make your next application smarter.

Drawing on important real-world use cases, Kenneth Knowles delves into the details of the language- and runner-independent semantics developed for triggers in Apache Beam, demonstrating how the semantics support the use cases as well as all of the above variability in streaming systems. Kenneth then describes some of the particular implementations of those semantics in Google Cloud Dataflow.

Watermarks are a system for measuring progress and completeness in out-of-order stream processing systems and are used to emit correct results in a timely way. Given the trend toward out-of-order processing in current streaming systems, understanding watermarks is an increasingly important skill. Slava Chernyak explains watermarks and demonstrates how to apply them using real-world cases.

David Mandala offers an overview of HiKey. With HiKey, developers can easily use the latest Google AOSP SDK to create and debug new and existing peripheral drivers and perform kernel development and other tasks with fewer OEM encumbrances. HiKey can also be used to make VR applications with OSVR, robotic applications with ROS, and secure applications with ARM TrustZone.

Members of the TODO Groupan open group of companies who collaborate on practices, tools, and other ways to run successful and effective open source projects and programsdiscuss why they started open source offices in their respective companies (Twitter, Netflix, Box, Google, Microsoft, and SanDisk) and share the lessons they learned along the way.

The search for planets outside our solar system has long been the exclusive domain of professional scientists with access to large observatories or expensive space telescopes. Jenny Tong and Wilfred Gee explain how PANOPTES combines off-the-shelf components with open source software to bring exoplanet discovery to the public. Come learn about PANOPTES's challenges, solutions, and discoveries.

AWS, Azure, and GCP all provision clusters differently. Docker, Kubernetes, and Mesos are seeking to simplify that process but haven't fully delivered on that promise. Ben Lackey and Boris Baryshnikov explain the best way to provision with the tools available today as we wait for the perfect orchestration layer to arrive.

The University of Buea over the past two years has sextupled it's Google Summer of Code(GSoC) participants from 2 in 2013 to 12 in 2015 due to the hard work of the Google Developer Group Buea. The Open source culture is new in Africa and University students in Cameroon are taking the lead in Open source development through GSoC, with the Art of community imbibed in students on campus.

Bulama Yusuf explains how he and his team introduced agile methodologies to build a mobile app with a cloud-based backend at an organization that previously used the waterfall method of software development (and had never built a mobile app before). Bulama outlines the challenges the team faced and the lessons they learned along the way.

Each year, 15 million people suffer strokes, and at least a fifth of those are due to atrial fibrillation, the most common heart arrhythmia. Brandon Ballinger reports on a collaboration between UCSF cardiologists and ex-Google data scientists that detects atrial fibrillation with deep learning.

Kazunori Sato and Amy Unruh explore how you can use TensorFlow to drive large-scale distributed machine learning against your analytic data sitting in Google BigQuery, with data preprocessing driven by Dataflow (now Apache Beam). Kazunori and Amy dive into practical examples of how these technologies can work together to enable a powerful workflow for distributed machine learning.

TensorFlow is an open source software library for numerical computation with a focus on machine learning. Rajat Monga offers an introduction to TensorFlow and explains how to use it to train and deploy machine-learning models to make your next application smarter.

Everyone is talking about transitions and motion in interfaces these days. But how does motion benefit UI? As designers, we face the challenge of communicating how motion should work (and its value) to other stakeholders. Mike Gadow and Russell Wilkins, motion designers turned UI designers, show how they use motion graphics and advocate for motion in user interfaces.