InfoQ Homepage Machine Learning Content on InfoQ
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Building GPU Accelerated Workflows with TensorFlow and Kubernetes
Daniel Whitenack spoke at the recent KubeCon + CloudNativeCon North America 2017 Conference about GPU based deep learning workflows using TensorFlow and Kubernetes technologies. He discussed the open source data pipeline framework Pachyderm.
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How Apple Does Realtime Recognition of Handwritten Chinese Characters
Apple details building on-device handwritten Chinese character recognition with convolutional-neural networks and image recognition.
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Panel on the Future of AI
An SF QCon panel on the future of AI explored some issues facing machine learning today. The areas explored: critical issues facing AI right now, how has technology changed the way people are hired, how non-leading edge companies make the best use of current technologies, what the role of humans in relation to AI is, and exciting new breakthroughs on the immediate horizon.
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The Hottest Tech Trends in 2018 According to GitHub
Data, workflow integration, and open source tools are among the trends that Jason Warner, GitHub senior vice-president of technology, identifies as key for company success in 2018.
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AWS re:Invent 2017 ML and IoT Announcements: Amazon SageMaker, AWS DeepLens & IoT Device Manager
At the AWS re:invent conference 2017, held in Las Vegas, USA, several new AWS machine learning (ML) and Internet of Things (IoT) products were released. Highlights include Amazon SageMaker - a fully-managed ML service that enables developers to “quickly build, train, and host ML models”; and IoT Device Manager - a service to securely onboard, monitor, and remotely manage IoT devices at scale.
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TensorFlow Lite Supports On-Device Conversational Modeling
TensorFlow Lite, the light-weight solution of open source deep learning framework TensorFlow, supports on-device conversation modeling to plugin the conversational intelligence features into chat applications. The TensorFlow team recently announced the release of TensorFlow Lite, which can be used in mobile and embedded devices.
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Leslie Miley on Bias in Big Data/ML and AI - QCon San Francisco
At QCon San Francisco Leslie Miley gave a keynote talk in which he explained how inherent bias in data sets have affected things from the 2016 Presidential race to criminal sentencing in the United States.
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Tracks Announced for the Inaugural QCon.ai in 2018
Recently, the people behind QCon (InfoQ’s conference for senior developers, architects, and leaders in software) announced a new conference called QCon.ai.
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Microsoft and AWS Collaborate on Machine Learning
Microsoft and AWS have recently announced a new collaboration aimed at democratizing deep learning and artificial intelligence. Gluon is a joint effort between Microsoft Research and Amazon AI and is intended to make developing solutions using machine learning easier and quicker.
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Smart Replies for Member Messages at LinkedIn
LinkedIn has launched a new natural language processing (NLP) recommendation engine which is used to provide members with smart-reply recommendations to messages. The models and infrastructure development process has been documented in detail in a recent blog post by the engineering team.
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Book Review Python Machine Learning - Second Edition
The book Python Machine Learning, second edition by Sebastian Raschka and Vahid Mirjalili, is a tutorial to a broad range of machine learning applications with Python. It provides a practical introduction to machine learning. The main revision to the first edition is neural network practices. There are now five chapters that discuss neural networks, and their implementation in TensorFlow.
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Microsoft Updates AI Services and Tools for Data Scientists and Developers
At the recent Ignite conference, Microsoft released several updates related to its Artificial Intelligence (AI) services and tools. These updates include the release of the Azure ML Experimentation service, Azure ML Model Management service, Azure ML Workbench and the general availability of Microsoft Cognitive Services.
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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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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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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.