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Questions and Answers
What can AI analyze patent data for?
In what domain does closed-domain question answering operate?
What does open-domain question answering deal with?
What is one of the applications of entity resolution in financial organizations?
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Which organization developed software for performing real-time entity resolution using AI?
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What is one advantage of using AI for entity resolution in public-sector organizations?
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What is the main reason for the rapid expansion of IoT systems in recent years?
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Which best describes the relationship between IoT and Big Data?
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What distinguishes Big Data from traditional data sets?
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In an IoT system, what does the exchange of data typically not require?
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How do IoT systems bring data from the physical world to the digital world?
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What type of data becomes more easily available for training and analytics due to digitalization?
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What characteristic of cloud computing allows users to pay according to the amount of resources they used?
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Which characteristic of cloud computing ensures that users can dynamically choose the amount and type of resources they need?
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Who is responsible for the setup, management, maintenance, and security of both software and hardware resources in cloud computing?
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Which characteristic of cloud computing ensures that resources are available through the Internet on common consumer devices?
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What makes installing and maintaining hardware for running complex AI on a commercial scale expensive for Small and Medium Enterprises (SMEs)?
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Which cloud service characteristic ensures that resources are deployed to serve multiple users?
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What is the primary function of hyperspectral sensors mentioned in the text?
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Which sensor is highlighted for its ability to achieve 3D vision by combining with depth cameras?
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What distinguishes ultrasonic sensors from other types of sensors mentioned in the text?
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What is a unique feature of some radars according to the text?
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In the context of remote sensing, what can lidar do effectively?
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What is the key capability of hyperspectral sensors discussed in the text?
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Which type of model can use words that were not in the original input to generate summaries?
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What is one of the challenges associated with abstractive summarization models?
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Why are abstractive summarization models considered harder than extractive models?
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What is a key advantage of abstractive summarization models over extractive models?
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What is one step involved in trying out a commercial AI summarizer according to the text?
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What can be done to evaluate the quality of outputs from a commercial AI summarizer according to the text?
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