Hosted by the Interactive AI Centre for Doctoral Training and the Intelligent Systems Lab
Contact iai-cdt@bristol.ac.uk if you would like lunch, served between 12.30-13.00
Abstract: Modern sensing technologies have provided the possibility of sensing the world in a way that has not been possible before, generating massive spatio-temporal data sources. How can we use such data to understand and even change the complex world around us for the better? In this talk, I will discuss unique machine learning challenges in transforming such data into actionable decisions. These challenges call for automated solutions to address various problems, from filling the gaps in the data to filling the gaps in the knowledge acquired from data alone. I will present a few examples of such problems and automated solutions to address them.