InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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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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QCon New York - IoT and Edge Compute at Chick-fil-A
Internet of Things (IoT) and Edge Computing technologies drive the architecture at Chick-fil-A. Brian Chambers, enterprise architect at the restaurant chain company, spoke at QCon New York 2017 Conference about how they use edge and cloud services. He also discussed the design principles they follow in their applications: security, open API, and scalability.
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Google Cloud Video Intelligence Released in Public Beta
Google announced that the beta phase of its Cloud Video Intelligence API will now be open to everyone. The Video Intelligence API does can do two things: determine the shots (scene changes) in a video, and assign labels to the video and individual shots. Together with putting the API in public beta phase, Google also added support for detecting adult content.
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IBM and Lightbend Announce Initiative to Build New Platform for Cognitive Development
IBM has announced a strategic investment in reactive pioneer and Scala language custodian, Lightbend. The two companies will collaborate to build a new platform for cognitive development. Mark Brewer, CEO at Lightbend spoke exclusively to InfoQ about this collaboration.
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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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Q&A with the Developers of Obie: A Chatbot for Company Knowledge
Recently Tasytt launched Obie: a Slack chatbot for company knowledge. Teams can ask "what", "how", or "where" questions. Obie either finds the answer in one of your documents, or will ask you to provide him with the answer so he can give it next time someone asks the same question. InfoQ reached out to founder and CEO Chris Buttenham to ask him about Obie.
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Second-Generation TPU Offers Both Training and Model Serving, Free Research Tier on GCP
Google introduces the second-generation TPU at Google I/O and releases photos leading to much speculation about the new architecture. GCP offers a research-tier and an alpha release application process for access to a 1000 TPU cluster for free.
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Google Released MobileNets: Efficient Pre-Trained Tensorflow Computer Vision Models
Google released several pre-trained computer vision models for mobile phones in the Tensorflow Github repository. Developers can choose from several models that differ in amount of parameters, computations for processing one image, and accuracy. Developers can trade accuracy for battery power for their specific application.
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Enhancing Google Maps with Deep Learning and Street View
Google's Ground Truth team recently announced a new Deep Learning model for the automatic extraction of information from geo-located image files to improve Google Maps. This neural network model achieved a higher accuracy in processing the challenging French Street Name Signs (FSNS) dataset.
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Apple Announces Core ML: Machine Learning Capabilities on Apple Devices
At WWDC 2017 Apple announced ways it uses machine learning, and ways for developers to add machine learning to their own applications. Their machine learning API, called Core ML, allows developers to integrate machine learning models into apps running on Apple devices running iOS, macOS, watchOS, and tvOS. Models run on the device itself, so data never leaves the device.
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Q&A with Greg Kurtzer from the GPU Technology Conference
Rags Srinivas talks to Greg Kurtzer, a serial Open Source contributor at the GPU Tech Conference.
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Google Announces Tensorflow Lite: A Neural Network Library for Mobile Phones
Dave Burke, VP of engineering at Google, announced a new version of Tensorflow optimised for mobile phones. This new library, called Tensorflow Lite, would enable developers to run their artificial intelligence applications in real time on the phones of users. The library is designed to be “fast and small while still enabling state-of-the-art techniques”.
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The Technology Stack at Medium
Medium is an online publishing platform developed by Twitter co-founder Evan Williams. Launched in 2012, it now has over 60 million unique monthly visitors. The technology stack behind the site includes deployment to AWS, applications and services written in NodeJS and Go, data storage with DynamoDB, and Amazon Redshift as their data warehouse.
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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.