Overview
KI - Künstliche Intelligenz is the official journal of the Division 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.
- Editor-in-Chief
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- Daniel Sonntag
- Journal Impact Factor
- 2.8 (2023)
- 5-year Journal Impact Factor
- 2.6 (2023)
- Submission to first decision (median)
- 50 days
- Downloads
- 228,093 (2023)
Societies and partnerships
Latest articles
Journal updates
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CfP Special Issue: Quantum AI
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
Submission is closed.
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CfP Special Issue: Business Process Management (BPM) in the era of AI (BPM-AI)
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 deadline for articles: November 1, 2023
Click on the above title to find all relevant information.
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CfP Special Issue: AI for Precision Medicine
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.
Journal information
- Electronic ISSN
- 1610-1987
- Print ISSN
- 0933-1875
- Abstracted and indexed in
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- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- DBLP
- Dimensions
- EBSCO
- EI Compendex
- Emerging Sources Citation Index
- Google Scholar
- Japanese Science and Technology Agency (JST)
- Naver
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- SCImago
- SCOPUS
- TD Net Discovery Service
- UGC-CARE List (India)
- Wanfang
- Copyright information