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Development Follow 141 Followers

Google Aims to Demonstrate Quantum Supremacy with a 50-Qubit Processor

by Sergio De Simone Follow 5 Followers on  Oct 15, 2017

In a paper published in Nature, Google has revealed its plans to demonstrate that quantum computers can perform a computational task beyond the capability of a classical computer, a claim known as quantum supremacy. Key in Google’s plan is building a 50-qubit processors to solve quantum sampling problems.

Mobile Follow 50 Followers

Google Releases Android Instant Apps SDK 1.1

by Sergio De Simone Follow 5 Followers on  Oct 14, 2017

A few months after its introduction at Google I/O 2017, the Android Instant Apps SDK reaches version 1.1, bringing configuration APKs for binary size optimization and a new API to keep user context when transitioning to an installed app from an instant app.

Data Science Follow 267 Followers

Google Announces Firestore, a Document Database

by Abel Avram Follow 4 Followers on  Oct 04, 2017

Google has announced Cloud Firestore, a document database for mobile, web and server applications.

Development Follow 141 Followers

Google Open Sources Abseil, a Collection of C++ and Python Utilities

by Abel Avram Follow 4 Followers on  Sep 28, 2017 2

Google has made available a number of C++ libraries they use internally for many of their projects. Python ones are to follow soon.

Mobile Follow 50 Followers

ARCore is Google’s Second Take on Augmented Reality

by Sergio De Simone Follow 5 Followers on  Sep 05, 2017

After launching Project Tango a few years ago, Google has announced a new augmented reality (AR) initiative, ARCore, which aims to bring AR to millions of Android devices.

Development Follow 141 Followers

Go 1.9 Introduces Type Aliases, Improves Runtime and Tooling

by Sergio De Simone Follow 5 Followers on  Aug 28, 2017

The biggest change in recently released Go 1.9 is improved support for gradual code repair through the use of type alias declarations. Go 1.9 also improves the garbage collector and the compiler.

Data Science Follow 267 Followers

Google Researcher Invented New Technology to Bring Neural Networks to Mobile Devices

by Roland Meertens Follow 2 Followers on  Aug 26, 2017

Recently, many companies released applications that use deep neural networks. For applications that should run without internet access, must be fast and responsible, or in which privacy is a concern, using networks on servers is not possible. Google researcher Sujith Ravis invented a novel way to train two neural networks, of which one efficient network can be used with mobile applications.

Mobile Follow 50 Followers

Android 8.0 Oreo Is Here. Developers Are Recommended to Test Their Apps

by Abel Avram Follow 4 Followers on  Aug 22, 2017

Google has released the final version of Android 8.0 Oreo. The source code was published to AOSP and system images were made available for supported Nexus and Pixel devices. Android 8.0 comes with several changes that can affect how existing applications function.

Development Follow 141 Followers

Overview of Changes in Tensorflow Version 1.3

by Roland Meertens Follow 2 Followers on  Jul 31, 2017 5

Although it has only been a month since the release of version 1.2.1, there have been many changes to the software in version 1.3. Developers can find an extensive release report on the Github page of Tensorflow. This article will list the most important changes developers have to know about before and after upgrading to Tensorflow v1.3.

Data Science Follow 267 Followers

Researchers Improve State of the Art in Image Recognition Using Data Set with 300 Million Images

by Roland Meertens Follow 2 Followers on  Jul 28, 2017

Researchers improved the state of the art results on several benchmarks with models trained on a generated data set with 300 million images instead of the 1 million normally used. To test what happens with more train data, Google created an internal dataset of 300 million images. They labelled the data automatically in a noisy way. The conclusion is that more training data indeed helps.

Data Science Follow 267 Followers

Google Released Facets: A Visualisation Tool for Big Data

by Roland Meertens Follow 2 Followers on  Jul 19, 2017

Google open-sourced Facets: a data visualisation tool to explore data for machine learning scientists. Facets aim is to make big data set understandable and interpretable. Facets wants to be the visualisation tool researchers use to find nuances and insights in large data sets.

Mobile Follow 50 Followers

Google Uses Machine Learning to Identify Intrusive Android Apps

by Sergio De Simone Follow 5 Followers on  Jul 15, 2017

Google uses a clustering algorithm to automatically analyze Android apps and detect which ones can be considered intrusive, write Google security engineers Martin Pelikan, Giles Hogben, and Ulfar Erlingsson.

Development Follow 141 Followers

Google Discusses Go 2

by Abel Avram Follow 4 Followers on  Jul 15, 2017

At GopherCon 2017 which took place this week, Russ Cox, the tech lead for Go at Google, keynoted on the future of Go, inviting the community to submit suggestions on what should be included in the next major version of the language.

Data Science Follow 267 Followers

Google Presents MultiModel: A Neural Network Capable of Learning Multiple Tasks in Multiple Domains

by Roland Meertens Follow 2 Followers on  Jul 12, 2017

Google created a network that takes inputs from multiple modalities and can generate output in multiple modalities. They built a model that performs 8 tasks in multiple domains: speech recognition, image classification and captioning, sentence parsing, and back and forth translation of English-German and English-French. The network learns any task with one of these inputs and output modalities.

Web API Follow 112 Followers

Google Replaces Cloud Prediction API with Cloud Machine Learning Engine

by Shelby Switzer Follow 0 Followers on  Jun 21, 2017

Google has announced that over the course of the next year, it is discontinuing its Cloud Prediction API, and encourages developers using the Prediction API to migrate to its Cloud Machine Learning Engine, which enables data analysis, machine-learning training, and predictions from the Google Cloud Platform.

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