Journal updates

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 1^st, 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

The issue is now available here.

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.

Submission is closed.

Personalized Precision Medicine takes into account individual differences in genetics, physiology, environment and lifestyle of patients with the aim of finding the most targeted strategy to treat or prevent a disease while minimizing unwanted side effects. Personalized Precision Medicine is based on Artificial Intelligence methods that distill such therapy recommendations from a patient's molecular characteristics and explain them to the treating physician and also to the patient (XAI). In this way, we are building a bridge from computer science, data science and HPC to medicine, preclinical medicine and biochemistry.

Submission is closed. The issue is available here.

Healthcare and the public sector are fields that provide many interesting challenges as an application area for AI technologies. This special issue aims at providing an overview of work in AI in healthcare and the public sector.

The issue is now available here.

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Please read all relevant information for submitting an article for this journal.