Google-owned DeepMind today released a "large-scale extendable dataset of mathematical questions for training neural models that can reason algebraically."
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They feature Intel Deep Learning Boost, designed to support artificial intelligence (AI) and machine learning workloads, and offer "significant" processing speed boosts on the embedded level.
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Facebook today announced that it has developed and released PyTorch-BigGraph (PBG), a new open source tool that makes it easier to work with the extremely large graphs often found with AI projects.
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The Amazon cloud, hearing that customers wanted to simplify the complicated and time-consuming process of manually using Amazon Web Services to deploy TensorFlow workloads, announced a new managed service to do just that, and more.
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In the war for artificial intelligence cloud dominance with the likes of Amazon AI and Google AI, Microsoft's Azure AI team today fired off a salvo that boosts its Cognitive Services offering.
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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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