Gabriele Graffieti

machine learning artificial intelligence continual learning research unibo deepfakes neural networks gan generative adversarial networks computer science university academic research deep neural networks deep learning education artificial creativity ai ai policy ai democratization lecture university lecture singularity risk of ai high risk ai applications data bias bias in ai ai fairness ai ethics university of bologna challenge competition computer phd presentation sequential data continualai datascienceseed data science politics aiforpeople risks of ai social good aiforsocialgood philosophy ethics efficient machine learning machine learning on device latent rehearsal latent replay lifelong learning iros2019 creativeai generative models tutorial image processing cyclegan ml image-to-image translation