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background in AI/ML, data science, or signal processing Interest in music informatics, emotion modelling, or multimodal AI Ability to implement and evaluate machine learning models independently Commitment
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of the common first year: Aerospace engineering Chemical engineering Civil engineering Electrical and computer systems engineering Environmental engineering Materials engineering Mechanical engineering Robotics
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Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications
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sciences) focus primarily on the researchers rather than the people whose data has been collected. While data protection legislation worldwide is increasingly regulating what companies can do with
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on their location or textual information. The aim of this project is to build a next-generation navigation system by addressing limitations in the current systems – such as allowing more meaningful distance measures
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using data extracted from software repositories. This fine-tuning process aims to enable the models to provide answers to queries related to software development tasks. Examples of such queries include
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complexity), Vol. 42, No. 4, pp270-283. Keywords: Machine Learning; Data Science; Artificial intelligence; Machine learning; Antimicrobial resistance; Superbugs; Genomics
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intelligence”, Business Horizons 62(1) • November 2018. Heidegger, Martin. The Question Concerning Technology and Other Essays. Harper and Row, New York, 1977. Ihde, Don. “Philosophy of technology.” In
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and communication skills in healthcare. You will use sensor-technology to capture multimodal ‘trace’ data including gestures, speech, workspace spatial layout and manual handling of objects. You will
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their uncertainty to different stakeholders, and evaluate the effect of the conveyed information. The expected outcome of this project is an innovative conversational agent that helps users (e.g