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skills in Artificial Intelligence, Evolutionary Computation, and Generative Models Work plan: 1. Review and analysis of the literature on latent space exploration, evolutionary computation applied
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to develop new knowledge and skills in Artificial Intelligence, Generative Models, and Computational Neuroimaging.. Work plan: 1. Review and analysis of the literature on generative models guided by
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Reference: IT137-26-87 I - Legal admission requirements I.I - Grant Recipients: Bachelor's degree in Computer Engineering or Artificial Intelligence and Data Science, enroled in a Master's degree in the same
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Reference: IT137-26-90 I - Legal admission requirements I.I - Grant Recipients: Bachelor´s degree in Computer Engineering or Artificial Intelligence and Data Science, and enrolment in a Master's degree in the
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Marques. IV - Work Plan / Goals to be achieved: Research and development activities will be carried out in the areas of mobile robotics and artificial intelligence, with application to the automatic
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%; - Criterion 2: Student's performance in subjects in the areas of Artificial Intelligence and Algorithms – 30%; VII.II- I – In the evaluation of the interview, candidates' performance will be assessed according
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of an artificial intelligence (AI) solution for the diagnosis of invasive fungal infections, using microscopy images obtained in laboratory settings with limited resources. Leveraging deep learning models such as
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' academic performance will be assessed according to the following weights and criteria: - Criterion 1: Graduation average – 70%; - Criterion 2: Student's performance in subjects in the areas of Artificial