InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Apple Reveals the Inner Workings of Siri's New Intonation
Apple has explained how they use deep learning to make Siri's intonation sound more natural. IPhone owners can interact with Siri by asking questions in natural language and Siri responds by voice. At WWDC 2017, Apple announced that in iOS 11 Siri would use a new text to speech engine. In August 2017, Apple's machine learning journal unveiled how they were able to make Siri sound more human.
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QCon New York 2017: Migrating Speedment to Java 9
Dan Lawesson, CSO at Speedment, presented “Migrating Speedment to Java 9” at this year’s QCon New York. Lawesson spoke to InfoQ about Speedment and how they are addressing the challenges of migrating Speedment to Java 9.
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Google Researcher Invented New Technology to Bring Neural Networks to Mobile Devices
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.
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Java API for RESTful Web Services 2.1 Released
Java API for RESTful Web Services JAX-RS 2.1 was released, with support for server-sent events, JSON-B, improved support for JSON-P, and a reactive extension to the client API.
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Q&A with Movidius, a Division of Intel Who Just Launched the Neural Compute Stick
Recently Movidius (a division of Intel's New Technology Group) released the neural compute stick: a usb-based development kit that runs embedded neural networks. With this stick users can run neural network and computer vision models on devices with low computational power. InfoQ reached out to Gary Brown, marketing director for Movidius, Intel New Technology Group, and asked him a few questions.
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Facebook Transitioning to Neural Machine Translation
Facebook recently announced the global rollout of NMT. Switching from phrase based translation models to NMT has been rolled out for more than 2,000 translation directions and 4.5 billion translations per day. According to Facebook this provides an 11% increase in BLEU score. We will discuss how it was achieved, what it means for machine generated translation and how it fares against competition.
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Google Announces Tensor2Tensor for TensorFlow
Google Brain team open-sourced Tensor2Tensor, a set of utilities and wrappers for modularizing TensorFlow workflow components to create a more portable, and repeatable environment for TensorFlow-based deep neural network programs.
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Q&A with Andrew Brust of Datameer Regarding Big Data's Role in AI
Rags Srinivas talks to Datameer's Andrew Brust about the larger role of Big Data in AI and how it's operationalized with SmartAI.
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Overview of Changes in Tensorflow Version 1.3
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.
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Researchers Improve State of the Art in Image Recognition Using Data Set with 300 Million Images
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.
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SQL Server 2017 RC1 Arrives with Expanded Linux Functionality
After seven preview releases, Microsoft has announced the release of the first Release Candidate for SQL Server 2017. Those running SQL Server on Linux will find several new capabilities. Foremost among these is TLS support and Active Directory Authentication.
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Google Released Facets: A Visualisation Tool for Big Data
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.
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Google Presents MultiModel: A Neural Network Capable of Learning Multiple Tasks in Multiple Domains
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.
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Netflix Announces Genie 3
Netflix announced major revisions and functionality in their Big Data distributed workflow management tool, Genie 3. In its newest version, Genie 3 supports scalable, config-driven data processing executables and task pipelines.
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Scalable Chatbot Architecture with eBay ShopBot Shopping Assistant
Robert Enyedi, software engineer at eBay spoke at QCon New York 2017 Conference about ShopBot personal shopping assistant application. ShopBot, launched in late 2016 based on Facebook Messenger bot, leverages AI components and the eBay user data to provide shopping options in a conversational style.