Regular biography
Amos Storkey holds the Personal Chair of Machine Learning & Artificial Intelligence at The University of Edinburgh's Department of Computer Science. His research focuses on machine learning and artificial intelligence, though specific details are not provided. Storkey's work is accessible through his university profile page. He can be contacted via email at A.Storkey@ed.ac.uk, and his professional website is available at https://www.ed.ac.uk/Amos_Storkey.html.
Scholar-generated biography
Amos Storkey is a Professor of Machine Learning and AI at the University of Edinburgh, specializing in Machine Learning, Deep Learning, Meta-Learning, Bayesian Methods, and Machine Learning Systems. His research explores advanced techniques in neural networks, including meta-learning, Bayesian inference, and curiosity-driven learning. Storkey's work addresses challenges in training deep models, such as optimization, generalization, and data augmentation. His publications cover topics like adversarial learning, neural architecture search, and the analysis of SGD dynamics. His contributions span both theoretical and applied aspects of machine learning, with a focus on improving model adaptability and performance in complex environments.