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approach could resolve this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat
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key regulators of inflammation and tissue remodeling in gut and skin diseases. • Apply and refine AI/ML methods, including deep learning, neural networks, and interpretable models (e.g., SHAP, BioMapAI
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, accurately and securely. Goal of this PhD project High-capacity neural models, such as transformers, have been pivotal for establishing general-purpose models for a wide variety of natural language tasks
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robots become increasingly integral in society, they must adapt to changing environments and cooperate with human partners effectively. Traditional AI systems, such as neural networks and deep learning
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. Work on this project will require research into novel methods that extract information from text that can be combined with the acoustic training data to inform flexible neural network structures and
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convolutional/neural networks Experience with explainable and interpretable AI (XAI) Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules
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expectations? By using computational models (including probabilistic models and neural language models), we will be able to answer these types of questions. In addition, our project will benefit computational
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simply by paying attention to what they “hear”? Or do they need to come prepared with certain expectations? By using computational models (including probabilistic models and neural language models), we
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interested in conducting mathematical research that combines its theoretical rigor and beauty with real-world applications, including climate and weather, the formation of opinions and neural networks
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simulations with deep learning neural networks and swarm robots, virtual reality experiments, animal communication research, and more. In a range of projects, we show that languages can effectively be seen as