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. Yet semantic heterogeneity—differences in terminology, structure, and logic—remains a central barrier to reusability, interoperability, and reproducibility. This postdoctoral position addresses a
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. Yet semantic heterogeneity—differences in terminology, structure, and logic—remains a central barrier to reusability, interoperability, and reproducibility. This postdoctoral position addresses a
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AI Integration Generative scene synthesis and procedural world-building AI-assisted asset creation and semantic scene enrichment Synthetic data generation for perception and simulation Embedding real
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streaming architectures Generative AI Integration Generative procedural urban modeling and rule induction Semantic enrichment and automated feature extraction Reconstruction or inference of structural detail
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enabling robots to interpret semantic task instructions and generalize to new or variant parts with minimal reprogramming, this framework aims to substantially reduce the time and cost of deploying
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cybersecurity knowledge, represented through semantic knowledge graphs, and combined with symbolic reasoning, modern language models, and autonomous agents to support security analysis, situational awareness
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· EMED: An Ethical Mixture-of-Experts Digital Twin Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered