Google unveils Android 3.0 SDK preview

By
Follow google news

Mobile OS optimised for tablets.

Google has released a preview of its software development kit (SDK) for the upcoming Android 3.0 operating system.

Google unveils Android 3.0 SDK preview

The US giant announced the release on its official blog.

The release will enable developers to test out new applications on the OS as well as helping them update older applications for the new user interface (UI).

“Besides the user-facing features it offers, Android 3.0 is also specifically designed to give developers the tools and capabilities they need to create great applications for tablets and similar devices, together with the flexibility to adapt existing apps to the new UI while maintaining compatibility with earlier platform versions and other form-factors,” wrote Xavier Ducrohet, Android SDK tech lead at Google.

New features of Android 3.0 include 3D graphics, support for multi-core processors and ramped up administration policies, such as encrypted storage and password expiration, making it more attractive to the enterprise market.

Android 3.0 – codenamed Honeycomb – was designed with tablets in mind and officially announced at this year’s Consumer Electronics Show (CES) in Las Vegas.

CES also saw the first tablet device based on Honeycomb launched in the shape of Motorola’s Xoom. Release dates are yet to be confirmed.

This article originally appeared at itpro.co.uk

Add iTnews as your trusted source

Got a news tip for our journalists? Share it with us anonymously here.
Copyright © ITPro, Dennis Publishing
Tags:

Most Read Articles

Macquarie Bank saves 130,000 hours in seven months of Gemini Enterprise use

Macquarie Bank saves 130,000 hours in seven months of Gemini Enterprise use

Fed gov faces major M365 licensing change

Fed gov faces major M365 licensing change

Woolworths gives agentic-powered Olive chatbot to its 200,000 staff

Woolworths gives agentic-powered Olive chatbot to its 200,000 staff

Services Australia describes fraud, debt-related machine learning use cases

Services Australia describes fraud, debt-related machine learning use cases

Log In

  |  Forgot your password?