“How do machines learn?” is the title of the second lecture in this series, which will take place at the University of Granada (Spain) and can be followed online.
In this talk, the basic ideas of how machines can “learn” will be outlined. A clear description of supervised/unsupervised learning and classification/regression problems will be provided. The last part of the talk will be devoted to discussing key topics around “generative AI”.
Juan Gómez-Romero is a Full Professor in the Department of Computer Science and Artificial Intelligence at the University of Granada, Spain. He previously held positions as a Lecturer and Researcher at Universidad Carlos III de Madrid. His research centres on the application of artificial intelligence, particularly machine learning, for the modelling, simulation, and analysis of cyber-physical and social systems. Professor Gómez-Romero has published extensively in these areas and actively contributes to AI-driven projects aimed at advancing sustainable development goals.