InfoQ Homepage Machine Learning Content on InfoQ
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Google Uses Machine Learning to Identify Intrusive Android Apps
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.
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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.
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Electronic Frontier Foundation Measuring Progress of Artificial Intelligence
The Electronic Frontier Foundation (EFF) started a document containing progress artificial intelligence (AI) research on multiple tasks. The goal of the document is to be the place for people to find progress on difficult tasks. Currently, many tasks don't have the metrics, datasets, and benchmarks to keep track of them. The EFF made a notebook to which researchers and developers can contribute.
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QCon New York: Evaluating Machine Learning Models - A Case Study in Real Estate
Opendoor, a real estate company that helps customers with buying and selling homes, uses machine learning techniques to drive pricing models. Nelson Ray, data scientist at Opendoor, spoke at QCon New York 2017 Conference about how they developed a simulation-based framework for reasoning about machine learning models to assess the risk in reselling homes.
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Managing Data in Microservices
Randy Shoup from Stitch Fix team spoke at QCon New York 2017 Conference about managing the data and isolated persistence in Microservices based applications. He also talked about events as a first class construct for microservices.
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Facebook Publishes New Neural Machine Translation Algorithm
Facebook’s Artificial Intelligence Research team published research results using a new approach for neural machine translation (NMT). Their algorithm scores higher than any other system on three established machine translation tasks.
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Developing Virtual Assistant Apps with Amazon Lex and Polly Deep Learning Technologies
Greg Bulmash from Amazon spoke at the OSCON 2017 Conference last week about developing your own virtual assistant applications using Amazon's Lex and Polly technologies.
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Google Invests in Cognitive: Cloud Speech API Reaches General Availability
In a recent blog post, Google announced their Cloud Speech API has reached General Availability. The Cloud Speech API allows developers to include pre-trained machine learning models for cognitive tasks such as video, image and text analysis in addition to dynamic translation. The Cloud Speech API was launched, in open beta, last summer.
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Google Reveals Details of TensorFlow Processor Unit Architecture
Google's hardware engineering team that designed and developed the TensorFlow Processor Unit detailed the architecture and benchmarking experiment earlier this month. This is a follow up post on the initial announcement of the TPU from this time last year.
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The AI Misinformation Epidemic
Over the past five years, Google searches for Machine Learning have gone up five times. “Fo anything that has machine learning in it or blockchain in it, the valuation goes up, 2, 3, 4, 5x”, Andy Stewart pointed out. Zachary Lipton claimed a "misinformation epidemic" in the field in a recent blog post. In this article we present the technical perspective of ML and how it can be presented.
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Google Announces Cloud Machine Learning API Updates
Google recently announced the Cloud Machine Learning API updates at the Google Cloud Next Conference. This includes a set of APIs in the areas of vision, video intelligence, speech, natural language, translation and job search.
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Conference Recap: Google Cloud Next
Cloud enthusiasts from around the world attended Google Cloud Next to hear an update from the search giant. Three broad themes emerged from the many keynotes and 200+ sessions: service scale and maturity, usable machine learning, and enterprise-friendliness.
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TensorFlow 1.0 Released
Google recently announced TensorFlow version 1.0. Python API is now stable and experimental APIs for Java and Go have been added. XLA delivers significant performance increase. Keras can also be integrated with TensorFlow using a build-in module. tf.transform, tf.layers, tf.metrics, and tf.losses all add new features to the framework..
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Android Things Brings TensorFlow-Based Machine Learning and Computer Vision to IoT Devices
Recently released Developer Preview 2 (DP2) for Android Things makes it easier to use TensorFlow for machine learning and computer vision on IoT devices. Additionally, it extends USB audio for several IoT platforms, adds Intel Joule support, and enables direct use of native drivers through a new Native PIO API.
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MindMeld’s Guide to Building Conversational Apps
MindMeld, a conversational AI company, has published The Conversational AI Playbook, a guide outlining the challenges and the steps to be made to create conversational applications.