InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Brian Goetz Speaks to InfoQ on Pattern Matching for Java
Brian Goetz and Gavin Bierman of Oracle introduce the concept of pattern matching for potential integration into the Java programming language. By starting from common Java source code idioms that are verbose or error prone, they explore how pattern matching may eliminate some of the pitfalls.
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Q&A with Alison Polton-Simon on Her 'Metrics That Matter’ Talk for DevOpsDays NZ
Raf Gemmail talks with ThoughtWorks’ Alison Polton-Simon about her DevOpsDaysNZ talk on metrics which teams should be measuring.
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Q&A with Hillery Hunter: IBM Reduces Neural Network Training Times by Efficiently Scaling Training
In August 2017 IBM announced it broke the training record for image recognition capabilities. IBM research reduced their training time for the neural network layout called "ResNet-50" to only 50 minutes. On another network layout called ResNet-101, they obtained an accuracy record of 33.8 percent. Using 256 GPUs they trained their neural network on a dataset containing 7.5 million images.
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LinkedIn Develops MySQL Query Analyzer Tool
In order to optimise the performance of their MySQL instances, LinkedIn has created a Query Analyzer tool in order to analyze and tune expensive queries. It runs on the network layer, stores everything within a centralized server, and provides a UI for users to analyze metrics.
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TensorFlow Serving 1.0 Release Detailed at Google I/O
Google's Noah Fiedel details new programming model for TensorFlow Serving in a stable 1.0 release. Subject matter addresses common challenges with portability, servablility, and reproducibility improvements.
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Apple’s iPhone X Has Custom Neural Engine Processor Built In
Speaking in the Steve Jobs Theatre at Apple Park yesterday Philip Schiller, senior vice president of worldwide marketing at Apple, described some of the technology behind the facial recognition system in the newly announced iPhone X including a dedicated neural engine built into the A11 chip.
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Southbank Software Introduces dbKoda, an Open Source Database Development Tool for MongoDB
Southbank Software recently released its initial offering of dbKoda version 0.6.0, an open source MongoDB development tool written entirely in JavaScript. Guy Harrison, CTO at Southbank Software spoke to InfoQ about dbKoda.
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NERSC Scales Scientific Deep Learning to 15 Petaflops
Intel, Stanford and National Energy Research Scientific Computing Center (NERSC) recently announced the first super computing cluster achieving 15 Petaflops of computing calculations power. This was achieved by a cluster of 9,622 Intel Xeon Phi processors at 1.4Ghz for a combined 2,629,696 threads of computation. In this article we will explore the hybrid approach behind achieving strong scaling.
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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.