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By John K. Waters
VMware seeks to bolster next-generation carrier networks and applications with the acquisition of Uhana, a startup providing highly-scalable, low-latency, real-time stream processing and AI services to improve network performance.
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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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Microsoft on June 25 announced the open source release of TensorWatch, a debugging and visualization tool for deep learning projects that helps manage the increasing complexity, depth and training requirements of AI models.
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By John K. Waters
Kaloom's flowEye offering is a real-time, artificial intelligence (AI)-powered, in-band network telemetry (INT) and analytics solution that traces actual packet routes as they travel through the datacenter.
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MSDN Magazine columnist and former Microsoft evangelist Frank La Vigne talks about his transition into the realm of artificial intelligence and machine learning, and what developers need to know to make a transition of their own
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IBM this week extended its effort to make artificial intelligence (AI) and machine learning (ML) more accessible, with the release of AutoAI for IBM Watson Studio.
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By John K. Waters
Companies processing data in real time for AI and machine learning use cases appear to be kicking adoption into high gear, despite concerns about a dearth of developer expertise.
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Three months after the alpha version of TensorFlow 2.0 was released, the developers behind the popular Google Brain-created open source machine learning framework have announced that the beta version is now available.
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