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, such as, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, PINN/KAN models, neural operators, etc, and
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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desirable. Familiarity with explainable AI, causal inference, or biologically inspired neural networks, as well as experience collaborating with experimental laboratories, will be considered strong assets
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, to test the fault-ride-through ability of the converter. Expected Results A neural network structure trained on the limited dataset DT data with high-accuracy impedance estimation under different operating
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programming (MATLAB and Python); knowledge of data processing; experience in mathematical modelling, especially dynamic systems and neural networks; previous experience with burned area algorithms. Contracting
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
of numerical simulations and digital twins. By using advanced machine learning methods, such as Physics-Informed Neural Networks (PINNs) and Variational Physics-Informed Neural Networks (vPINNs), the project
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dysfunction and its impact on neuronal networks, building on the complementary expertise of a team with a strong publication record in reputable journals and proven experience in identifying nervous system
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collaboration with GE Healthcare and their re-search center in Oslo. Your interests are in neural networks research. You have a big motivation to both contribute to new methods in neural networks, and develop
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collaboration with GE Healthcare and their re-search center in Oslo. Your interests are in neural networks research. You have a big motivation to both contribute to new methods in neural networks, and develop
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research community in exploring near-analog biologic brain inspired solutions to reduce power consumption in neural networks. In this project you will be involved in a collaborative effort investigating