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: connecting ergodicity theory to reinforcement learning is a very recent development, and enabling RL agents to safely detect and adapt to a changing environment is a timely and active research area. Combining
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enable the effective incorporation of detailed material models in design tools for the next-generation variable-speed electric machines feed by frequency converters. The development and implementation
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COWAMA: Content-based watermarking for AI-generated audio , led by Assistant Professor Lauri Juvela. The rapid development of generative AI has made it possible to create realistic speech and music
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learning is a very recent development, and enabling RL agents to safely detect and adapt to a changing environment is a timely and active research area. Combining trajectory-centric objectives and
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electric machines feed by frequency converters. The development and implementation of the magnetic model into a finite-element-based software toolbox will be at Aalto University. The experimental
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watermarking for AI-generated audio , led by Assistant Professor Lauri Juvela. The rapid development of generative AI has made it possible to create realistic speech and music, but it has also created risks
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excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built environment, mechanics and materials, multidisciplinary energy
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/research/doctoral-education/the-application-process-in-a-nutshell ). The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https://www.helsinki.fi/en/research
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experts who combine technical excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built environment, mechanics and materials
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generation of experts who combine technical excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built environment, mechanics and