The conference focused on three main topics: "Network Security, Artificial Intelligence (AI) and Machine Learning for Networks and Systems", "Quantum Computing for Networks" and "Security and Machine Learning Applications".
Prof. Dr. Philipp Brune, who is also a professor at Neu-Ulm University, opened the conference with a groundbreaking keynote on "Towards an Enterprise-Ready Implementation of Artificial Intelligence-Enabled, Blockchain-Based Smart Contracts." This presentation highlighted the merging of blockchain technology and artificial intelligence, from trained AI models in smart contracts to the use of blockchain for AI model distribution.
In addition to this keynote, Prof. Dr. Brune and Simon Fischer-Heselhaus presented an accepted paper titled "AI vs. Dinosaurs - Automated Recovery of Legacy Mainframe Applications in Java by Combining Programming and GPT." In this paper, the authors focused on transforming legacy systems using AI and ChatGPT.
In addition, Sarah Dreher presented her paper, co-authored with Prof. Dr. Philipp Brune and Jens Gebele, titled: "Applying Transfer Testing to Identify Annotation Discrepancies in Facial Emotion Data Sets." This presents an innovative approach to assessing annotation discrepancies between three emotion recognition databases using transfer testing and different machine learning architectures.
