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of Electronics and Informatics (http://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), performs fundamental and applied research in Micro- & Optoelectronics, multidimensional signal processing, and
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the semantic foundation that enables AI systems to reason more coherently about ship designs, reducing ambiguity in the data available to machine‑learning systems, and supports explainability by grounding AI
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detailed descriptions of the paratexts and their semantically annotated transcriptions. As such, the project emphasises the interdependencies between print agents, the artefacts they created, and the
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Knowledge of or experience with semantic modeling, knowledge representation and automated reasoning Knowledge of or experience with knowledge-based engineering and system engineering Knowledge
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, systems, and constraints explicit and machine‑interpretable, and (3) is suitable for computational reasoning and AI-based methods. In doing so, the project creates the semantic foundation that enables AI
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: Semantically Safe Robot Interaction (ID: TUEILSY-PHD20240930-SSR) Distributed Multiagent Planning and Control for Large Aerial Swarms in Changing Environments (ID: TUEILSY-PHD20240930-SAS) Safe Collaborative
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form of topic modelling as a method for automated content analysis. Topic models are a probabilistic method that allows organizing the contents of a text corpus into a set of semantically coherent
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, and institutional content). • Implementation of Retrieval-Augmented Generation (RAG) with semantic and geographic indexing. • Fine-tuning to improve cultural coherence, multilingual responsiveness, and
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to the user, which pictures to show? A third possible topic is performance improvement of using a graph-based analysis and/or infrastructure. Typical RAG systems use a semantic search based on embeddings. NEO
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application development. Deep Learning techniques, Data Engineering, and Semantic Technologies Open-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data