InfoQ Homepage Artificial Intelligence Content on InfoQ
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The Relationship between Team Emotion and Delivery
AI firm Deep Affects studied Jira projects, presenting a relationships between emotional health and team productivity. Their findings are also supported by Gallup's 2017 State of the Workforce survey which indicates the cost of not having emotionally engaged teams.
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Machine Learning and Artificial Intelligence - Two Conferences to Attend in 2018
The IEEE publishes an annual list of the Top 10 Technology Trends for each upcoming year. Making the list for 2018 are multiple topics surrounding artificial intelligence and machine learning. Deep learning comes in as the IEEE hottest trend for 2018.
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Microsoft Announces the General Availability of Azure Bot Service and Language Understanding
Microsoft recently announced that the Azure Bot Service and Language Understanding has become generally available. Both had previously been in public preview for months, and the release increases availability in nine more regions including Ireland, Hong Kong and Sao Paulo, Brazil, and new capabilities to aid developers in achieving more.
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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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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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Google and Intel Release Do-It-Yourself Artificial Intelligence Vision Kit
Google created a do-it-yourself artificial intelligence kit that allows you to build an intelligent camera that can recognize objects. The main component of their kit is the VisionBonnet board for the raspberry pi. This board contains a Movidius chip created by Intel. This company specializes in adding computational power to existing hardware, and created the neural compute stick.
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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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How Apple Uses Neural Networks for Object Detection in Point Clouds
Apple invented a neural network configuration that can segmentate objects in point clouds obtained with a LIDAR sensor. Recently Apple joined the field of autonomous vehicles. Apple has now created an end-to-end neural network to segmentate objects in point clouds. This approach does not rely on any hand-crafted features or other machine learning algorithms other than neural networks.
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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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Start-up Vicarious Defeats CAPTCHA Security with AI Inspired by Brain’s Visual Cortex
Vicarious improved on neural network capable of solving CAPTCHA challenges using a novel network layout called Recursive Cortical Network. In contrast to a normal neural network, which starts without any knowledge before training, a RCN starts with knowledge of contours and surfaces. This prior knowledge facilitates model building and generalisability.
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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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Jensen Huang Announces NVIDIA's New Projects at the GPU Technology Conference
Today the GPU Technology conference in Munich kicked off with a keynote by NVIDIA CEO Jensen Huang. NVIDIA announced the NVIDIA Holodeck, the Tensor RT 3 library, NVIDIA's Drive platform, and the Pegasus computer for autonomous taxis.
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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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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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Google Researcher Invented New Technology to Bring Neural Networks to Mobile Devices
Recently, many companies released applications that use deep neural networks. For applications that should run without internet access, must be fast and responsible, or in which privacy is a concern, using networks on servers is not possible. Google researcher Sujith Ravis invented a novel way to train two neural networks, of which one efficient network can be used with mobile applications.