This week, you should be using Android Studio 2.0! How one app increased its user engagement with material design. And, how an exciting collaboration between software engineers and researchers is shaping the way genomic data is processed in the cloud.

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TL;DR 022 — April 15, 2016

Android Studio 2.0

Android Studio 2.0 is the fastest way to build high quality, performant apps for the Android platform, including phones and tablets, Android Auto, Android Wear, and Android TV. If you are developing for Android, you should be using Android Studio 2.0. Check out the blog post for the latest features and a link to the latest stable release.

Increase User Engagement With Material Design

In this week’s Android Developer Story, WeVideo explains how relaunching their app with material design increased user engagement by 100%. They also share how WeVideo improved monetization and installs using ratings & reviews, store listing experiments, and other features on Google Play. Click here for the full video.

Stackdriver Error Reporting

Quickly understand your cloud application’s top or new errors with Stackdriver Error Reporting, now available in beta for everyone to try. Zero setup is needed for App Engine applications and it requires just a few configuration steps on other platforms. Stackdriver Error Reporting counts, analyzes and aggregates in real time the crashes in your running cloud services, and notifies you when there’s something new. More details and screenshots are on this post.

Google Maps SDK for iOS

We recently launched the Google Maps SDK for iOS version one point one three. This release includes the ability to create advanced marker animations, the ability to set the frame rate up to 60 frames per second, further custom styling for the Place Autocomplete widget, and more. Details, and a link to the SDK, are on the post.

Genomic Data Processing on Google Cloud Platform

Ok, that was a super-short set of updates this week. So here’s one more thing just for fun. This is a post on the Google Research blog from the Broad Institute of MIT and Harvard about how their researchers and software engineers are collaborating closely with the Google Genomics team on large-scale genomic data analysis. They’ve already significantly reduced the time and cost for whole genome processing and are helping researchers think even bigger. Check it out.