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Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities
Recent advances in machine learning, coupled with low-cost computation, availability of cheap streaming sensors, data storage and cloud technologies, has led to widespread multi-disciplinary research activity with significant interest and investment from commercial stakeholders.
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