InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Twitter Open Sources Stream Processing Engine Heron
InfoQ's Rags Srinivas caught up with Karthik Ramasamy, co-creator and engineering manager at Twitter, regarding the Open Sourcing of the Stream-Processing engine Heron, a successor for Apache Storm.
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How YouTube's Recommendation Algorithm Works
In a recent paper published by Google, YouTube engineers analyzed in greater detail the inner workings of YouTube’s recommendation algorithm. The paper was presented on the 10th ACM Conference on Recommender Systems last week in Boston. In this news item we analyze how YouTube uses deep learning to operate one of the largest and most complex recommendation systems in industry.
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Microsoft Pushes the Bot Framework, Google Buys API.ai
Microsoft has made available Bot Framework Preview to developers and Google has purchased API.ai, a bot engine with many integrations.
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DeepMind Unveils WaveNet - A Deep Neural Network for Speech and Audio Synthesis
DeepMind's WaveNet synthesizes speech and musical audio using parametric text-to-speech (TTS). DeepMind claims to have outperformed some of the leading TTS systems when rated subjectively by a group of test participants in a blind study.
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Serverless, Microservices, Architecture, Streaming, & Culture Highlighted for QCon SF 2016
QCon San Francisco tracks are heavily focused on architecture, including topics like: Architectures You’ve Always Wondered About, Distributed Systems War Stories, Architecting for Failure, and Next Generation Microservices. You can find tracks focused on Culture, Optimizing You, & Softskills. Additionally, there are tracks that offer deep-dives in areas like DevOps, Security, and Web Tier Apps.
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Amazon Kinesis Analytics is Like SaaS for Big Data Analysis
Real-time analysis of event streams has a new focus in Big Data platforms, both on-premise and in the cloud. AWS have released Amazon Kinesis Analytics, a rival to Azure StreamAnalytics. Both platforms use a simple SQL language for complex querying, and move Big Data analysis into a SaaS-like space.
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IBM Creates Artificial Neurons from Phase Change Memory for Cognitive Computing
A team of scientists at IBM Research in Zurich, have created an artificial version of neurons using phase-change materials to store and process data. These phase change based artificial neurons can be used to detect patterns and discover correlations in Big Data (real-time streams of event based data) and unsupervised machine learning at high speeds using very little energy.
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TensorFlow Learns Cucumber Selection and Classification
Cucumber farmer with embedded systems engineering background teaches TensorFlow neural network to mimic his cucumber-farming family’s classification and selection skills for automation.
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Getting the Data Needed for Data Science
Data science is about the data that you need; deciding which data to collect, create, or keep is fundamental argues Lukas Vermeer, an experienced Data Science professional and Product Owner for Experimentation at Booking.com. True innovation starts with asking big questions, then it becomes apparent which data is needed to find the answers you seek.
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Google Launches Cloud Natural Language API
Google released their beta Cloud Natural Language API on July 20, joining the movement to make advances in natural language processing (NLP) from the small world of cutting-edge research and to the hands of everyday data scientists and software engineers. Google’s NLP API lets users take advantage of three core NLP features:
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DeepMind AI Program Increases Google Data Center Cooling Power Usage Efficiency by 40%
DeepMind Sensor data captured from Google data centers yield a 40% increase in data center power usage efficiency and an overall site-wide 15% power usage efficiency gain using an AI program similar to an earlier game-like program of theirs that had learned how to play Atari games.
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Facebook Open-Sources Deep Learning Project Torchnet
Facebook Artificial Intelligence Research laboratory open-sources the Torchnet project to package and optimize boiler plate deep learning code for reuse and plugin-ability.
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QCon San Francisco 2016 Trackhosts Confirmed
QCon San Francisco, the largest English speaking conference organized by InfoQ, returns to the Bay Area November 7-9 for its tenth successive year. There are 18 tracks at QCon San Francisco, each an individually curated full-day vertical conference focused on important topics for software developers.
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Meson Workflow Orchestration and Scheduling Framework for Netflix Recommendations
Netflix's goal is to predict what you want to watch before you watch it. They do this by running a number of machine learning (ML) workflows every day. Meson is a workflow orchestration and scheduling framework that manages the lifecycle of all these machine learning pipelines that build, train and validate personalization algorithms to help with the video recommendations.
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QCon San Francisco 2016 Tracks Announced and First Glimpse at Workshops
QCon San Francisco, the 10th annual bay area software conference that attracts attendees from all over the world, returns to the Fishermen's Wharf area of San Francisco November 7-9, 2016.