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environments. Specifically, the research will develop an intelligent agent capable of dynamically adapting content, interaction modalities, and training strategies to the individual characteristics of workers
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multilingual settings, such as machine translation, and emerging agentic and interactive multimodal NLP systems involving human-AI collaboration present frontier evaluation challenges. The ultimate goal is to
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) systems for a conversational health agent, provisionally titled “Doctor Assistant”, intended to support physicians in routine clinical practice through AI-augmented documentation and decision support. The
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Twins is that cities are systems-of-systems, with complex interactions between physical, organisational, and social dimensions, as well as between the physical world and the digital world. Novel modeling
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algorithms that enable artificial agents to acquire skills through interaction (feedback) with humans. The objectives include: the development of reinforcement learning algorithms; possibly the study of
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. This research will not only deepen our scientific understanding of changes in soil health but would also propose new tools as AI agents for policy support and decision-making. In addition, the candidate would