InfoQ Homepage Machine Learning Content on InfoQ
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Amazon Introduces AWS RoboMaker for Building Intelligent Robotic Applications
At the recent AWS re:Invent 2018 conference, Amazon introduced AWS RoboMaker, a service that simplifies the development, testing and deployment of intelligent robotic applications at scale. RoboMaker includes extensions for the Robot Operating System (ROS) that enable cloud connectivity to AWS to take advantage of machine learning, cognitive, monitoring and analytics services.
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Facebook Open-Sources PyText for Faster Natural Language Processing Development
In a recent blog post, Facebook announced they have open-sourced PyText, a modeling framework, used in natural language processing (NLP) systems. PyText is a library built upon PyTorch and improves the effectiveness of promoting experimentation projects to large-scale production deployments.
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Microsoft Previews Neural Network Text-To-Speech Capabilities
In a recent blog post, Microsoft announced a public preview of their neural network-powered text-to-speech capability, which is part of their Azure Cognitive Services offering. Within this release, the service makes computer generated voices indistinguishable from actual recordings. This technology has applications in chatbots, virtual assistants and converting digital text into audio books.
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Connecting Business Challenges and Emerging Technologies
Caragh O'Carroll spoke about three emerging technologies at Women in Tech Dublin 2018: Blockchain, robotic process automation, and artificial intelligence and machine learning. She explored how these technologies provide solutions to the challenges that businesses are facing.
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Q&A with Christoph Windheuser on AI Applications in the Industry
Increased hardware power and huge amounts of data are making existing machine learning approaches like pattern recognition, natural language processing, and reinforcement learning possible. Artificial Intelligence is impacting the development process; it’s increasing the complexity of things like version control, CI/CD and testing.
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Microsoft Announces AI-Assisted IntelliCode for TypeScript and JavaScript in VS Code
Beyond the typical IntelliSense or code completion developers have come to appreciate, earlier this year Microsoft announced IntelliCode, a set of capabilities that provide AI-assisted development. The VS Code team has now announced a new experimental extension to bring IntelliCode to TypeScript and JavaScript users.
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TensorSpace.js Delivers Neural Network 3D Visualization Framework
TensorSpace.js provides an open source browser-based neural network data visualization framework to complement the growing machine learning landscape by supporting pre-trained models created with TensorFlow.js, Keras, or TensorFlow.
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Azure Machine Learning Services Now Generally Available
Microsoft has announced the general availability of the Azure Machine Learning service. Azure Machine Learning automates machine learning to make it easier to build, train and deploy models. The service is generally available now, with pricing to go into effect February 1, 2019.
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QCon.ai San Francisco 2019: AI & ML Conference Focused on Software Engineers Announces Tracks
QCon.ai, the first conference from the people behind QCon and InfoQ focused solely on artificial intelligence and machine learning for the software engineer, announces the tracks for the 2019 conference.
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AWS Marketplace Offers Machine Learning Algorithms and Model Packages
Amazon Web Services is offering machine learning algorithms and model packages on their AWS Marketplace. This was announced at AWS re:Invent Conference last week.
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Recap of AWS re:Invent 2018 Announcements
If you thought Amazon Web Services (AWS) might run out of services to launch, this year's re:Invent put that fear to rest. At the recently concluded event, AWS shared a flurry of announcements across a range of categories. re:Invent rarely has a "theme" for its announcements. But there was heavy attention on machine learning, databases, hybrid cloud, and account management.
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Sony Trains ResNet-50 on ImageNet in 224 Seconds
Researchers from Sony announced that they trained a ResNet 50 architecture on ImageNet in only 224 seconds. The resulting network has a top-1 accuracy of 75% on the validation set of ImageNet. They achieved this record by using 2.100 Tesla V100 Tensor Core GPUs from NVIDIA. Besides this record, they also got a 90% GPU scaling efficiency using 1.088 Tesla V100 Tensor Core GPUs.
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Google Introduces AI Hub and Kubeflow Pipelines for Easier ML Deployment
Google is launching two new tools, one proprietary and one open source: AI Hub and Kubeflow pipelines. Both are designed to assist data scientists design, launch and keep track of their machine learning algorithms.
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Google Open-Sources Speaker Diarization AI Technology, Claims 92% Accuracy
In a recent blog post, Google announced they have open-sourced their speaker diarization technology, which is able to differentiate people’s voices at a high accuracy rate. Google is able to do this by partitioning an audio stream that includes multiple participants into homogeneous segments per participant.
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Google Open-Sources BERT: A Natural Language Processing Training Technique
In a recent blog post, Google announced they have open-sourced BERT, their state-of-the-art training technique for Natural Language Processing (NLP) . Google has decided to do this, in part, due to a lack of public data sets that are available to developers. In addition, optimizations have been made to Cloud TPUs to reduce the amount of time required for training NLP.
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Applied AI & ML conference for software engineers
April 15-17, 2019
San Francisco, California
Discover emerging AI trends, essential tools, and how to apply AI in your software projects.
QCon.ai Tracks
- Deep Learning in Practice
- Papers in Production: Modern CS in the Real World
- Predictive Architectures in the Real World
- AI Meets the Physical World
- Groking Timeseries & Sequential Data
- Solving Software Engineering Problems with Machine Learning
Featured Talk
Applying Deep Learning To Airbnb Search
Machine Learning Engineer @Airbnb
Malay Haldar
“High quality talks from the innovators in the industry with no sales pitch. Helped me to get a much broader and deeper understanding on where AI is headed and some of the areas where it is actively applied.”
QCon.ai at a glance
- 6 tracks across 2 days
- 1 day of optional workshops
- 35+ speakers from early adopter companies
- Practitioners over evangelists
- Never any hidden marketing
- Peer sharing opportunities
