TENSORFLOW Posts on XDA

Google’s ML Kit SDK adds Smart Reply and Language Identification APIs

Google's Machine Learning (ML) Kit is an SDK that incorporates years of Google's work on machine learning into a Firebase package. The goal with this ML Kit is to allow mobile app developers on both iOS and Android to benefit from the real-world uses of ML without needing to understand how the algorithm works. Google's...

Google announces TensorFlow 2.0 Alpha, TensorFlow Federated, TensorFlow Privacy, and the Coral development platform

Google is fully invested in advancing the potential of artificial intelligence. The company has released a bunch of tools, documentation, tutorials, and platforms to help developers utilize machine learning for applications. TensorFlow is one of their most important projects in this field. It's an open-source development platform, helping teams and individuals to train models via...

Developer uses Machine Learning to train an Android game bot to play Rock Paper Scissors

LG is trying to bring back air gestures with Air Motion on the LG G8 ThinQ, but developer ramtin8731 has a better idea of how to use gestures: mobile gaming. For the really, really bored mobile gamers out there, the developer made a Rock Paper Scissors Android game with an added twist: it uses your...

TensorFlow Lite adds support for mobile GPUs on Android

TensorFlow is a symbolic math software library for dataflow programming across a range of tasks. It's typically used for machine learning applications such as neural networks. The software library was developed by the Google Brain team for internal use at first, but then the company released it under the Apache 2.0 open-source license back in late 2015. This...

Google details what’s coming in TensorFlow 2.0

A couple of years ago, nobody could have imagined that people would be talking about machine learning like they talk about the weather. The ever so powerful and complex technology has grown tremendously for the past two or three years. It managed to penetrate the mainstream technology industry and make everyone interested in its capabilities....

Gboard testing smart replies for WhatsApp, Facebook, Allo, Snapchat, and more

Google's stock keyboard app for Nexus and Pixel smartphones, Gboard, is my go-to keyboard ever since Swype for Android was discontinued. The popular keyboard app for Android devices recently received the ability to create GIFs but the last update that added a feature I would call "smart" was back in February with the addition of email...

On-device machine learning coming to Chrome OS

Machine Learning is one of those hotwords that keeps gaining traction inside Google. It has seeped into every branch of its business from the Google Assistant to Gmail. New code indicates that Google is now working to support machine learning on Chrome OS. The implementation looks similar in concept to TensorFlow Lite for Android, where clients...

Google’s ML Kit is a new Firebase SDK that takes the headache out of machine learning

Machine learning and artificial intelligence have quickly entered our lexicon in recent years, but few truly understand how the technology works, or what they're capable of. Even Google's own AI researchers joke that machine learning is akin to alchemy. As a busy developer, you may not have the time to learn about machine learning (ML),...

Google Project Detects When Someone is Stealing Glances at Your Phone

Google's researchers are constantly experimenting. Some of their projects, like Gmail, are almost destined to become full-scale products. Others never see the light of day. But we're hoping that one -- an artificially intelligent (AI) camera app that recognizes when more than one person is looking at a phone's screen -- is in the former...

Try Out On-Device Conversational Modeling with Google’s TensorFlow Lite

Google has been stepping into the machine learning game more and more, especially when it comes to messaging. Earlier this year, Google launched a machine learning algorithm for smart messaging on Android Wear 2.0, allowing for the use of previously cloud-based machine learning technologies to be used entirely offline in applications such as Gmail, Inbox...

Google Releases MobileNets, Mobile-First Computer Vision Models for Tensor Flow

Google has announced MobileNets, a family of mobile first computer vision models for TensorFlow. The company designed them to work on low-power, low-speed platforms like mobile devices. Having a device that can determine what you are currently seeing, on your phone, might just revolutionize our app ecosystems by unleashing a variety of new use-cases. Visual recognition...

A Summary of Google’s 101 Announcements at I/O 2017

The most anticipated event of the year for Android developers and Google fans is officially over. During the I/O 2017, Google announced many new features and improvements that should make their projects even better. Emily Wood, Google's Manager of Global Communication and Public Affairs, published a blog post with all 101 announcements that took place in...