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that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed computing, and exploiting mechanisms such as network slicing and multi-access edge computing
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algorithms (including a description of practical work / projects / courses where this was used) skills you would need to develop deliverables of the project Your preliminary project proposal, in font size 12
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to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process
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physical latency limits and human perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data
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for testing newly developed algorithms is anticipated in mainland Norway, Svalbard, and abroad. Funding is also available for conference attendances and research visits with external collaborators. The position
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on the development of machine learning algorithms, particularly transfer and adaptive learning, for multimodal wearable biosensing and its translation to rehabilitation and digital health applications. It is co
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these technologies have for human expertise, and how professionals learn to work with these technologies in constructive and trustworthy ways. Emerging epistemic technologies such as algorithmic or AI-powered
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. The project is supervised by Associate Professor Ulysse Côté-Allard at the Department of Technology Systems, University of Oslo, whose research focuses on the development of machine learning algorithms
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these technologies have for human expertise, and how professionals learn to work with these technologies in constructive and trustworthy ways. Emerging epistemic technologies such as algorithmic or AI-powered