KI - Künstliche Intelligenz is the official journal of the Chapter for Artificial Intelligence within the German Informatics Society, covering all aspects of artificial intelligence.
Presents all relevant aspects of artificial intelligence, including fundamentals, tools, scientific applications, and AI methods.
Provides quick access to current topics in the field and promotes vital interdisciplinary interchange.
Ensures scientific quality of the articles through a reputed team of editors from both university and industry.
Published in English and includes peer-reviewed content.
Research in the energy sector has a profound influence on AI research: It pushes the boundaries in forecasting error, it has created multi-agent systems with a unique take on snapshotting, optimization, and resource distribution problems, it is a driver in research for large language models, presents solutions to the curse of dimensionality, advances research in deep reinforcement learning, explainability, and more. This special issue aims to provide an overview over the current state of the art in AI for the energy sector.
Submission Deadline: August 1st, 2025
See the new Collection page here. Articles will be available there after online publication.
Quantum Artificial Intelligence (QAI) refers to the use of quantum computing and quantum communication for solving computational problems in AI, and vice versa. This special issue aims at providing an overview of QAI regarding, but not limited to, the following topics:
Use of quantum computing for machine learning, natural language processing, automated planning, knowledge representation and reasoning
Use of quantum computing for multiagent systems
Use of quantum AI solutions for practical applications in industries such as finance, chemistry, automotive, space, health
Use of AI techniques for enabling quantum computing
Business Process Management (BPM) consists of several sub-areas such as business process strategy, business process modeling, business process implementation, business process automation and execution, business process monitoring and control, and continuous business process improvement. This special issue aims at providing an overview of the work in AI and BPM.