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"Leveraging blockchain technology allows us to do two things that are integral to the success of the framework: offer participants a level of trust and security and reliably execute an incentive-based system to encourage participants to contribute data that will help improve a model's performance."
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Presenso has announced that its machine learning solution for predictive asset maintenance has been chosen by Siemens to be incorporated into that company's suite of Remote Diagnostic Services tools.
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Microsoft has announced a number of improvements to Azure designed to give developers increased capabilities for IoT and AI projects, plus improved interop with various chipsets and open standards, among other changes.
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FogHorn recently announced the launch of Lightning Mobile, a new edge computing solution designed for industrial machine learning-focused mobile devices running Android.
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The company says it created the board combination with Google's TensorFlow team specifically for artificial intelligence on the edge that focuses on gesture and voice recognition.
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Olea Sensor Networks have announced an update to its OleaSense development platform, designed for its OS-3010 wireless sensors, which are used for the real-time collection of heart and respiration data inside, for example, smart vehicles.
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Alibaba and Intel Corp. this week have announced a new initiative to bring an artificial intelligence-based "open" platform for edge computing designed for Internet of Things (IoT) projects.
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In the partnership, Jabil will build the embedded apps based on Tibco's Project Flogo, an open-source project designed for IoT.
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Dell EMC recently announced PowerEdge MX, new hardware designed to support artificial intelligence, machine learning and Internet of Things workloads.
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Google recently announced a new application-specific integrated circuit designed for AI and IoT processing taking place "on the edge."