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By John K. Waters
Catherine Havasi, a visiting scientist at MIT and group director at the Media Lab focused on natural language processing and people analytics, is on a mission to help computers understand the world more like a person and less like a machine.
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Microsoft updated its open source machine learning framework, ML.NET, to version 0.11 and offered up an engineer to help developers make it work in a production environment.
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By John K. Waters
Coming hot on the heels of the much anticipated TensorFlow 2.0 alpha release, TensorFlow Privacy is an open source library designed to make it easier for developers to train machine-learning models with privacy.
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New features in version 0.16 include support for Spark's deep learning pipelines and name entry recognition cognitive service.
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Enterprise artificial intelligence (AI) platform vendor Dataiku announced this week that it has updated its namesake platform to version 5.1.
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Today the alpha 2.0 version of the popular open source machine learning platform TensorFlow was released on Github.
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This week Google announced that it has open-sourced GPipe, a library that can be used to train deep neural networks (DNNs) used in large-scale machine learning projects
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By John K. Waters
SWIM.AI announced this week that it has open sourced the stateful data processing engine at the core of its namesake app development platform under an Apache 2.0 license. It is now freely available to developers.
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Visual Studio Code, the open source, cross-platform code editor from Microsoft that some developers prefer for creating artificial intelligence projects, is itself leveraging AI to make their coding lives easier.
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IBM's cloud-based Watson artificial intelligence service is now a portable offering untethered from IBM Cloud, so enterprises can use it on any cloud platform.
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CogitAI Inc. wants to improve artificial intelligence enterprise initiatives by removing the human element of manually labeling data for training machine learning algorithms.
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Transportation network company Uber has open sourced a homegrown, no-code toolbox for working with deep learning models.
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A new open source project from the Amazon cloud platform, Amazon Web Services, optimizes machine learning models to run better in the cloud and on resource-constrained network edge devices.
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With enterprise artificial intelligence initiatives exploding along with demand for machine learning and other skills, you might think associated salaries would be topping industry charts, but that's not so in a new report from careers site Dice.
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A new developer skills report from recruiting specialist HackerRank asked respondents about new technologies most likely to be adopted soon in the real world, with deep learning placing high on that list.
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By John K. Waters
A recent analysis of the “Octoverse,” the nickname for the community of users of the popular code repository and social coding platform revealed that AI/ML development tools, such as TensorFlow and Pytorch, are among its fastest-growing projects.
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