What Are IEEE Intelligent Systems and Their Applications?

IEEE Intelligent Systems and Their Applications is the publication title used during a transitional period for what began in 1986 as IEEE Expert and later became IEEE Intelligent Systems, a bimonthly magazine published by the IEEE Computer Society that covers research and practice in artificial intelligence, machine learning, and knowledge-based systems. The name "Intelligent Systems and Their Applications" was adopted in 1997 as the magazine expanded its scope from expert systems to the broader range of AI methods emerging during the 1990s; the current title IEEE Intelligent Systems came into use in 2001. The publication thus spans four decades of AI development under three names.

The magazine is aimed at users, managers, developers, and researchers who are interested in intelligent systems and their deployment in practical settings. Its editorial approach bridges current research and near-term applications, making it distinct from the deep technical transactions journals in the IEEE Computer Society portfolio.

Historical Development

The magazine launched in 1986 under the title IEEE Expert, timed to the period of peak commercial interest in rule-based expert systems. It transitioned from quarterly to bimonthly publication in 1990, reflecting growth in both the field and its readership. The shift to the title IEEE Intelligent Systems in 2001 tracked the broader reorientation of AI research from symbolic, rule-based approaches toward statistical learning, neural networks, and hybrid methods. This naming history makes the magazine an unusually long-running record of AI's conceptual trajectory, with issues from the mid-1980s documenting expert system commercialization and more recent issues addressing deep learning and large language model deployment.

Content and Editorial Scope

The magazine publishes tutorial articles, research surveys, technical papers, and practitioner perspectives on topics including knowledge representation, machine learning, intelligent agents, planning and reasoning systems, natural language processing, computer vision, and explainability in AI. Articles are written to be accessible to a technically informed audience that includes practitioners implementing AI systems, researchers entering the field from adjacent disciplines, and technology managers evaluating AI for deployment. Each issue of IEEE Intelligent Systems on IEEE Xplore is indexed by Scopus and Web of Science, ensuring discoverability across the scholarly literature.

Connection to AI and Machine Learning Research

The magazine maintains close ties to the IEEE Computer Society's broader AI portfolio, which includes the IEEE Transactions on Neural Networks and Learning Systems, the IEEE Transactions on Pattern Analysis and Machine Intelligence, and the IEEE Transactions on Knowledge and Data Engineering. Where those transaction journals carry primary research with full technical detail, IEEE Intelligent Systems provides a complementary venue: articles that synthesize a subfield, report on deployed systems, or address the practical challenges of bringing AI into production. The magazine has also served as a forum for debate on the social, ethical, and organizational dimensions of intelligent systems, topics that have grown in prominence as AI deployment has expanded across critical infrastructure and public services.

Applications

IEEE Intelligent Systems and Their Applications covers AI methods and systems deployed across a range of fields, including:

• Decision support and diagnostic reasoning in medical informatics
• Autonomous vehicles and intelligent transportation systems
• Natural language processing for document analysis and information retrieval
• Intelligent manufacturing and predictive maintenance in industrial automation
• Knowledge management and recommendation systems in enterprise environments