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to practically storing and presenting a richer array of contextual information. Thanks to substantial investments from “tech giants” like Microsoft, Google, Meta, and Apple, mixed reality displays have rapidly
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allow unsupervised behavioural prediction tools 3, 6, 9 to be applied seamlessly. The student will aim to create a Google Colab 15 notebook, which would connect rodent videos to behavioural predictions
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Modern map-based systems and location-based services rely heavily on the ability to efficiently provide navigation services and the capability to search points of interests (POIs) based
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possible, establish available QoS performance, to map what medical applications are feasible for remote use across the geography. Methodology is necessarily mixed. There will be a significant survey
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-problems concerning: activity capture (incorporating computer vision and sensor information to map and identify changes in the environment); activity representation (modelling of the activity and environment
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stakeholders. 2. Propose and evaluate a methodology to map out multimodal sensor data into higher-order constructs to enable for measurement of relevant learning qualities of skills and progression
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companies like Google). The use of deep learning and other AI techniques to make art raises all sorts of interesting ethical questions: who is the real author of the work? How should the art or creativity in
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to discover software defects in software products. However, ultra-large-scale systems, such as, Google, can consist of more than two billion lines of code, so exhaustively reviewing and testing every single
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assessment? What are the technical challenges that need to be overcome? How do learning theories, teamwork theory and learning design patterns map to the orchestration of such analytics tools? I would be
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Conversational Tactile Map for Blind People. In SIGACCESS2019, pages 682–684, 2019. E. Fast et al.˙ Iris: A Conversational Agent for Complex Tasks. In CHI2018, pages 1–12. ACM, 2018. Y. Yang, K. Marriott, M