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convolutional neural networks by exploring transformers, implicit neural representations (INRs), and hybrid architectures that integrate physical priors such as periodicity, symmetry, and long-range correlations
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). The intention ius also to explore hybrid models that combine the local sensitivity of CNNs with the global modeling capabilities of these emerging architectures. A central goal is to integrate physical priors
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tailored materials design with advanced characterization methods to enable new device functionalities. The research aims to expand the capabilities of organic electronic devices by integrating light
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functionalities. The research aims to expand the capabilities of organic electronic devices by integrating light-responsive and multi-modal operation. The tasks will include: Exploring new doping strategies
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-WISE NEST project. This position will be with the Division of Artificial Intelligence and Integrated Computer Systems (co-PI: Prof Fredrik Heintz). We will strive for a tight collaboration between the
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embodied agents (e.g. robots) that can fluidly integrate into visitor interactions. Some aspects that can be of focus can include how embodied AI can facilitate group engagement, scaffold learning, and