Google TensorFlow Lite To Make Android Smarter—Leading To More AI-Reliant Smartphone Features

Google TensorFlow Lite to make Android smarter – leading to more AI-powered smartphone features

Google’s new TensorFlow Lite will soon make Android smarter, giving the smartphone system better AI-powered features.

(Photo: Leon Neal/Getty Images)
In this photo illustration, a man is shown the Google logo on August 09, 2017 in London, England. Founded in 1995 by Sergey Brin and Larry Page, Google now produces hundreds of products used by billions of people around the world, from YouTube and Android to Smartbox and Google Search.

This new machine learning framework designed by Google Brain Team is specifically created to work on mobile devices, especially smartphones.

The search engine giant revealed this new AI technology on Wednesday, May 4, at the upcoming Google I/O Developer Conference, which will start on May 11.

Google TensorFlow Lite to make Android smarter

According to the latest report from Computer World, the new TensorFlow Lite is part of the original open source TensorFlow project.

Google TensorFlow Lite to make Android smarter - leading to more AI-powered smartphone features

(Photo: Leon Neal/Getty Images)
In this photo illustration, the Google logo is displayed on the screen of a mobile phone and computer on August 09, 2017 in London, England. Founded in 1995 by Sergey Brin and Larry Page, Google now produces hundreds of products used by billions of people around the world, from YouTube and Android to Smartbox and Google Search.

Also Read: Travel Section Tool for Google Updates for Travelers | How to use this search function

“TensorFlow Lite will take advantage of a new Neural Network API to take advantage of specific silicon accelerators, and over time we expect to see digital processing chips specifically designed for neural network inference and training,” Google said.

The tech giant added that the new capabilities of TensorFlow Lite will enhance next-generation visual research, on-device speech processing, and augmented reality.

For this reason, Google said the new TensorLite Flow framework will make next-generation mobile devices more advanced. Over the past few years, application developers have needed a tremendous amount of computational power just to build advanced applications for machine learning.

Now, once the new TensorFlow Lite is widely implemented, application experts are expected to enjoy easier machine learning processes.

Other details about TensorFlow Lite

The official TensorFlow website explained that the new AI-based framework offers different approaches that app developers can use to enhance their skills. These include the following:

  • Basic Machine Learning with TensorFlow (Beginners)
  • TensorFlow for JavasScript development (for beginners)
  • Theoretical and Advanced Machine Learning with TensorFlow (Intermediate and Expert)

If you would like to see more details about these TensorFlow learning software, you can visit this link.

Apart from that, the new TensorFlow Lite also provides pre-trained templates, such as the following:

  • Object detection (features that can detect multiple objects contained in chests)
  • Image classification (features that can identify animals, plants, places, people, and other things)
  • Gesture recognition (features that can identify user gestures via webcams)

Meanwhile, the new Google Nest Camera Alexa support feature is expected to arrive on the new models.

On the other hand, the new Google Web3 team is expected to help companies build their own Web3 systems.

For more news updates about Google and its upcoming innovations, always keep tabs open here at TechTimes.

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written by: Griffin Davis

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