Events

From computer vision to concentrator value: Robust and actionable froth and pulp analytics Bernard Coetzee, Lidia Auret Flotation froth image analysis has been a topic of academic research and industrial implementation since the early 1990s, while online pulp image analysis is a more recent phenomenon. Algorithmic advances (such as deep learning) have led to improved accuracy […]

REGISTER HERE NOW Abstract: The explosive growth of machine learning and data-driven methodologies have revolutionized numerous fields. Yet, adapting these successes to the domain of dynamical physical systems remains a significant challenge. Closing the loop from data to actions in these systems faces many difficulties, stemming from the need for sample efficiency and computational feasibility, […]

REGISTER HERE NOW Abstract: The explosive growth of machine learning and data-driven methodologies have revolutionized numerous fields. Yet, adapting these successes to the domain of dynamical physical systems remains a significant challenge. Closing the loop from data to actions in these systems faces many difficulties, stemming from the need for sample efficiency and computational feasibility, […]