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partners. The group develops intelligent robotic systems, with an emphasis on methods and systems that cope with imperfect knowledge and uncertain sensing. The positions are linked to the AI in
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partners. The group develops intelligent robotic systems, with an emphasis on methods and systems that cope with imperfect knowledge and uncertain sensing. The positions are linked to the AI in
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physical AI in direct collaboration with leading industrial partners. The group develops intelligent robotic systems, with an emphasis on methods and systems that cope with imperfect knowledge and
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, predictive world models, vision-language-action systems and human digital twins are opening new possibilities for intelligent machines that interact naturally with people. However, enabling these systems to
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University of Sheffield. Supervised by Prof Paul Richmond and Edwin Brown . The University of Sheffield is one of the leading Russell Group universities in the UK. We carry out cutting-edge research with
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Tsinghua Shenzhen International Graduate School | The Innovation Hub, Gauteng | South Africa | 2 days ago
Communications, AI Chips and Systems, Optical Manufacturing and Intelligent Manufacturing. Contact: Ms. HONG, [email protected], +86-755-26414026 Biopharmaceutical and Health Engineering
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Tsinghua Shenzhen International Graduate School | The Innovation Hub, Gauteng | South Africa | 2 months ago
Communications, AI Chips and Systems, Optical Manufacturing and Intelligent Manufacturing. Contact: Ms. HONG, [email protected], +86-755-26414026 Biopharmaceutical and Health Engineering
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logical reasoning and theorem proving to build verifiable, trustworthy, and explainable intelligent systems. Prof. Amir Ghalamzan is a Senior Lecturer at the University of Sheffield and the theme lead
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Prediction Models Using Health Data PhD Studentship - Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems PhD Fellowship/Scholarship in Intelligent Heat
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Spatiotemporal Attribution and Causal Interpretability in Event-Driven Spiking Neural Networks for Neuromorphic Vision Systems (Neuro-XAI) (S3.5-ELE-Abhayaratne) School of Electrical and Electronic