InfoQ Homepage Deep Learning Content on InfoQ
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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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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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Teachable Machine: Teach a Machine Using Your Camera in Your Browser
Teachable Machine is a browser application that you can train with your webcam to recognize objects or expressions. In the demo you use your webcam as input to recognize three different classes of objects or expressions. Based on your camera input, the site shows different gifs, plays prerecorded sounds, or plays speech. The demo can be found here: teachablemachine.withgoogle.com
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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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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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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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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.
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Overview of Changes in Tensorflow Version 1.3
Although it has only been a month since the release of version 1.2.1, there have been many changes to the software in version 1.3. Developers can find an extensive release report on the Github page of Tensorflow. This article will list the most important changes developers have to know about before and after upgrading to Tensorflow v1.3.
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Google Released Facets: A Visualisation Tool for Big Data
Google open-sourced Facets: a data visualisation tool to explore data for machine learning scientists. Facets aim is to make big data set understandable and interpretable. Facets wants to be the visualisation tool researchers use to find nuances and insights in large data sets.
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Salesforce Brings Cognitive to CRM, Launches 3 New Services
In a recent blog post, Salesforce announced the addition of three cognitive services to its Einstein artificial intelligence (AI) platform. The three new services enable detecting sentiment, intent and object detection. Salesforce customers can then use these services to automate insight and use predictive modelling within their CRM apps.
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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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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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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.