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: 10.1109/LATW.2019.8704548. [4] P. Rech, "Artificial Neural Networks for Space and Safety-Critical Applications: Reliability Issues and Potential Solutions," in IEEE Transactions on Nuclear Science, vol. 71
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, Applied Machine Learning, Neural Networks and Deep Learning as well as Machine Learning for AI and Data Science and Bayesian Theory and Data Analysis. We are looking for an associate able collectively
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. Investigate and implement optimum sampling strategies, including sparse and compressed sampling techniques. Explore the applicability of neural networks in clinical workflows, ensuring solutions are practical
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in Gait Training. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(11), https://doi.org/10.1109/TNSRE.2016.2551642 * Friston, FitzGerald, Rigoli, Schwartenbeck & Pezzulo (2017
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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. Tissue engineering and regenerative medicine: integration of biomechanical principles into the design of scaffolds, organoids, and artificial tissues. Mechanics of cardiovascular and neural tissues
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at the intersection of artificial intelligence and cultural heritage. The successful candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital
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technologies such as neuromorphic and photonic processors. This diversity challenges traditional Electronic Design Automation (EDA) tools, demanding new paradigms for design automation. Artificial intelligence
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neuromorphic circuits. We will also simulate high-efficiency spiking neural networks (SNN) and build neuromorphic sensory systems to validate performance and explore broad biomedical and other potential