Computers control increasing numbers of objects in our daily life: phones, aircraft, cars, buildings, manufacturing machines, musical instruments, etc. In these so-called cyber-physical systems (CPSs), computers interact directly with the physical world through sensors and actuators. Those systems are becoming the key infrastructure and backbone of our society and are at the heart of revolutionary changes in our daily lives and economy. The sophistication and complexity of CPSs keep increasing since they must realize more functions with limited resources, which makes them increasingly difficult to build and manage. In particular, the cyber (software) part of these systems is growing rapidly and has become a key part of CPS, as they are the basis of operation for these systems. Artificial intelligence (AI) has a fundamental influence on the economy, administration, and society. AI is now also affecting software engineering, providing robust approaches for software development to analyze and evaluate complex software and its development processes. Repository mining, machine learning, big data analytics, and software visualization enable targeted insights and powerful predictions for software quality, software development, and software project management. The research community has shown a keen interest in this emerging field. This report presents a summary of the workshop held on February 2021 at KIT Bhubaneswar, co-located with the 14th Innovations in Software Engineering Conference (ISEC 2021).