AI+ (AI Plus) is an interdisciplinary open access academic journal for artificial intelligence (AI) research, positioned at the intersection of AI technologies and their applications and/or applicability in multiple domains. The journal aims to bridge the gap between theoretical research and a diverse range of practical implementations, providing a platform for innovative applicable theory, methodologies, and case studies involving fielded applications of AI. Its scope encompasses the full range of topics within AI and its intersections with other scientific disciplines, offering a holistic view of the rapidly evolving landscape of intelligent systems.

Topics of interest include but are not limited to:

    Theoretical Work: Computational, mathematical, and analytical techniques such as machine learning, deep learning, reinforcement learning, learning theory, network dynamics, fuzzy logic, genetic algorithms, information theory, big data and knowledge engineering, knowledge representation and reasoning, and sensorimotor transformations.
    AI Applications: Natural language processing, computer vision, robotics, multi-agent systems, planning and scheduling, uncertainty modeling, intelligent systems, interdisciplinary applications involving AI, artificial life, cognitive science, computational learning theory, neurobiology, and pattern recognition, integration of AI with other scientific fields and the deployment of AI technologies across industries.