Summer school AI-enabled mobility

Rubesa-Zrim, J. (Organiser)

Activity: Participation in or organisation ofConference or symposium (Participation in/Organisation of)

Description

The summer school on “AI-enabled mobility” introduces the participants to modern theories of machine learning and its applications in mobility. The program addresses topics of automated transportation, data analytics, computer vision, artificial neural network, speech recognition, within the legal and ethical framework. Although artificial intelligence is not a new research field, it has been evolving at an accelerated pace in recent years and is already in influencing and changing our lives. Thus, a solid theoretical foundation is needed for the design of real-world applications. To obtain useful and trustable AI-solutions, the interaction between academia and industry must be promoted and intensified under the motto: “theory meets application” and “problem meets solution”.
Period14 Sep 202016 Sep 2020
Event typeWorkshop
LocationGraz, Austria
Degree of RecognitionInternational

Keywords

  • Data-driven AI and Big-data Analytics
  • Reinforcement Learning
  • Computer Vision and Sensor Fusion
  • Interpretability and Verification
  • Robotics and Anomaly Detection
  • AI Ethics
  • AI-mobility Law,
  • AI privacy
  • Human-like AI