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mobile health technologies enable the continuous capture of rich, multimodal physiological and behavioural data. These data when analysed with Artificial Intelligence (AI) and machine learning methods can
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VQA (Visual Question Answering) architectures. 2. Design of a driving co-pilot based on a multimodal perception system and with VQA capabilities. 3. Integration of safety protocols into the co-pilot. 4
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environment with strong industrial links and a focus on innovation and sustainability. https://www.tum.de/ Chair of Perception for Intelligent Systems (PercInS) PercInS develops AI-driven perception systems
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Senior Research Fellow
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or more Departments they wish to apply to. Applicants should submit a cover letter, curriculum vitae, statements outlining plans for teaching, research, and contributing to Penn State values (https
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Your Job: This thesis focuses on designing, evaluating, and deploying algorithms for robot perception and control. The main task is predicting both self-motion and the motion of surrounding agents
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-agents for perception and communication. Candidates ideally have a background in computer science, electrical engineering, or related fields, and a strong interest in machine learning, optimization
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-making. Team members bring complementary expertise, and by working together we address novel problems that no single approach could solve alone. Multimodal foundation models Key words: multimodal learning
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problems that no single approach could solve alone. Multimodal foundation models Key words: multimodal learning, grounded and human-aligned fine-tuning, test-time adaptation You will join our research team
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toward generative and multimodal AI methods that connect simulation, perception, and control within large-scale digital twins of urban traffic systems in Munich. The focus lies on advancing semantic