Announcement

Dear Colleagues,

Project Description: Over the last few years, Artificial Intelligence (AI) systems have achieved super-human performance in specific yet complex tasks across diverse environments (e.g., image recognition, language translation, complex games like Go). Given their effectiveness, we aim to employ AI (or Agent) Training Programs (ATPs) to generate scenarios automatically for training (on specific tasks) in safety-critical applications while addressing the issue of trust to improve adoption:

Paper Submission Deadline: 8 June 2020

W8: IEEE Vehicular Technology Society Workshop on Urban Air Mobility

Organizer: Kamesh Namuduri, University of North Texas, USA

Organizing Committee: Helka-Liina Maattanen, Ericsson, Finland, Ismail Guvenc, North Carolina State University, USA, Uwe-Carsten Fiebig, German Aerospace Center (DLR), Germany, Alistair Munro, Independent Subject Matter Expert, Bristol, UK, Philip Hall, RelmaTech Ltd, UK, Gurkan Gur, Senior Researcher, Zurich University of Applied Sciences, Switzerland