Big Data, AI and the Internet of Things demand new hardware which overcomes the limitations of von Neumann architectures. The lecture gives an insight how the fundamental physics and the resulting complex functionalities of nanodevices and circuits offer viable alternatives. Their increased computational power and energy efficiency are demonstrated through neuromorphic computing applications.

Understanding the physics of failures and failure mechanisms enables reliability analysis and serves as a practical guide for electronic devices design, integration, systems development and manufacturing. The field gains additional importance in the context of managing safety, sustainability and environmental impact for continuously increasing complexity and scaling-down trends in electronics.