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the average performance of algorithms is not enough to develop trust in an AI system. Reliability assessment approaches such as local fit and density principles try to address the problem of uncertainty in deep
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on artificial intelligence (AI) for energy systems and electrical grids - Execution of functional tests to validate the safety and robustness features of AI, taking into account the data-driven nature of AI and
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industry needs. One of the laboratories involved is the x-Energy Lab – SmartGrids and Electric Vehicles Laboratory, part of INESC TEC’s Centre for Power and Energy Systems.; It is in this context that INESC
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the application of the selected methods ; - Apply the scientific method on the research process and a critical attitude on the obtained results.; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING
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industry needs. One of the laboratories involved is the x-Energy Lab – SmartGrids and Electric Vehicles Laboratory, part of INESC TEC’s Centre for Power and Energy Systems.; It is in this context that INESC
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losses (insertion and propagation) and to optimize the entire fabrication process. The work includes writing in silica substrates or multicomponent glasses. Additionally, the fabrication of waveguides in
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on artificial intelligence (AI) for energy systems and electrical grids ; - Execution of functional tests to validate the safety and robustness features of AI, taking into account the data-driven nature of AI and
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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Deepen the understanding of the state-of-the-art in hypervision applied to the operation of electricity
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and validation in a laboratory context 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: State-of-the-art analysis of hybrid AC/DC microgrid architectures applicable to ships. This work also
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TEC. 2. OBJECTIVES: This project aims to compare advanced GANs for tabular data with open-source LLMs that can run on local computers. The goal is to see their strengths, differences, and how well