Since 1993, the Top 500 list has ranked supercomputers based on their performance in the High Performance Linpack (HPL) benchmark. Now Nvidia proposes that the organization expand its testing suite to include an AI-savvy benchmark called HPL-AI.
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A report by Zion Market Research projects that spending around machine learning is growing sharply, from about $1.58 billion in 2017 to $20.83 billion in 2024.
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Microsoft in July announced that it was investing $1 billion into artificial intelligence (AI) research lab as part of a partnership to accelerate development of advanced AI solutions and services.
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Intel announced the release of Pohioki Beach, an 8 million neuron neuromorphic system that the company says can deliver huge gains in performance and energy efficiency over traditional, CPU-based deep learning systems.
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Microsoft released ML.NET 1.2, adding new features and functionality to its open source machine learning framework that can be used for use cases ranging from sentiment analysis to sales forecasting.
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Leveraging computer vision and natural language processing, start-up Mesmer has emerged from stealth with AI bots to relieve human developers from the time-consuming task of customer experience testing of mobile apps.
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Google Cloud Platform recently announced the beta release of Google Deep Learning Containers, a family of preconfigured Docker containers outfitted with deep learning frameworks and tools.
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By John K. Waters
This week Compuware announced that it is integrating its machine-learning-driven zAdviser analytics tool with is ISPW mainframe continuous integration/continuous delivery (CI/CD) product to provide DevOps-related and other insights.
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InfoSphere Advanced Data Preparation promises to help enterprises transform "raw" datasets into useful information that can be used for machine learning and other data projects.
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