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. This evolution calls for new methodologies capable of effectively representing and compressing data in infinite-dimensional settings. In this project, we aim to address this challenge by developing a theoretical
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model pre-training and multimodal adaptation to architectures and compression for edge deployment while targeting real-world validation in domains like HealthTech, smart industry, and autonomous mobility
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% of total energy consumption, and 70% of heating is still met by Fossil Fuels . Heat pumps are a key enabling technology for decarbonization, but conventional vapor-compression systems face significant
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energy consumption, and 70% of heating is still met by fossil fuels[[1]](#ftn1). Heat pumps are a key enabling technology for decarbonization, but conventional vapor-compression systems face significant
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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