TensorFlow Lite, TensorFlow Research Cloud, and more

Google I/O: AI goes with just about everything

Gabriela Motroc

© Shutterstock / Williams

It’s an AI world! Or at least this is what Google wants us to believe. At Google I/O 2017, the tech giant announced the launch of TensorFlow Lite, TensorFlow Research Cloud, and gave other products (I’m looking at you, Smart Reply) an AI vibe.

The future is now. Google seems determined to infuse all its products with artificial intelligence and, by the looks of it, it has already succeeded. If we were to choose a theme for this year’s Google I/O, that would certainly be AI since a plethora of products have an artificial intelligence vibe.

TensorFlow Lite

TensorFlow Lite is a new library that promises to help developers create leaner deep learning models running on Android mobile devices. An API will be released later this year.

What’s in it for developers, you ask? This library will help apps remain fast and small with ML, Android Central explained.

TensorFlow Research Cloud program

Researchers can now access Google’s ML technologies at no cost. They will gain access to “a cluster of 1,000 Cloud TPUs that provides the machine learning research community with a total of 180 petaflops of raw compute power.”

Our goal is to ensure that the most promising researchers in the world have access to enough compute power to imagine, implement, and publish the next wave of ML breakthroughs. We’re setting up a program to accept applications for access to the TensorFlow Research Cloud and will evaluate applications on a rolling basis. The program will be highly selective since demand for ML compute is overwhelming, but we specifically encourage individuals with a wide range of backgrounds, affiliations, and interests to apply. The program will start small and scale up.

What’s the catch, you ask? You will have to share the benefits of ML learning with the world. “Participants in the TFRC program will be expected to share their TFRC-supported research with the world through peer-reviewed publications, open-source code, blog posts, or other means. They should also be willing to share detailed feedback with Google to help us improve the TFRC program and the underlying Cloud TPU platform over time.” — Bringing the benefits of AI to everyone

Google wants to “organize the world’s information and make it universally accessible and useful” and AI is the perfect medium for that. brings everything (research wise) under one roof. Federated Learning, for example, “enables mobile phones to collaboratively learn a shared prediction model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud.”

You can have a look at Google’s work, videos and experiments here.

Smart Reply in Gmail

Smart Reply, available in Inbox by Gmail and Allo, suggests quick responses to your messages. As of today, Smart Reply is coming to Gmail for Android and iOS too. And, as one would expect, it uses ML to give users better responses.

If you want to learn about the smarts behind Smart Reply, check out the Google Research Blog.

Gabriela Motroc
Gabriela Motroc was editor of and JAX Magazine. Before working at Software & Support Media Group, she studied International Communication Management at the Hague University of Applied Sciences.

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