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The AI Booster software uses machine learning to extract from documents, forms and receipts elements like text, value pairs and tables. The software is able to comprehend the layout and relationships between fields it discovers to pull information from documents.
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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.