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will also be provided. Overview This project will develop an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT
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an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT) sensor data. This will be a small system-on-chip designed
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cultural heritage, the programme spans a wide range of scientific domains, including architecture, anthropology, arts and culture, computer science, history, literature, linguistics, management, and more
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-sectoral research that addresses any aspect of cultural heritage. While rooted in cultural heritage, the programme spans a wide range of scientific domains, including architecture, anthropology, arts and
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of 1) system-level co-design of architecture, functionality and performance, and 2) leverage system models to monitor and understand operational behaviour of systems and act upon irregularities
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, international and inter-sectoral research that addresses any aspect of cultural heritage. While rooted in cultural heritage, the programme spans a wide range of scientific domains, including architecture
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, the programme spans a wide range of scientific domains, including architecture, anthropology, arts and culture, computer science, history, literature, linguistics, management, and more. Selected candidates will
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aspect of cultural heritage. While rooted in cultural heritage, the programme spans a wide range of scientific domains, including architecture, anthropology, arts and culture, computer science, history
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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine
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, visions and concerns in innovation. Entry requirements The standard minimum entry requirement is 2:1 in Geography, Sociology, Political Science, Anthropology, Design, Architecture, Engineering, Computer