Artificial Intelligence Journal | Computing Journal

This Artificial Intelligence Journal follows a Double-Blind Peer Review process. Computing journal aims to be a leading publication that drives the progress of computing and AI research, promotes responsible AI practices, and inspires innovation in the field. It aspires to be a valuable resource for researchers, industry professionals, policymakers, and anyone interested in the exciting and rapidly evolving domains of computing and artificial intelligence. Authors are solicited to contribute to this journal by submitting articles for the development of computing and artificial intelligence fields.

The Artificial intelligence journal (AI journal) publishes refereed theoretical as well as qualitative and quantitative substantive and applied research papers in the field of Machine learning, Deep learning, Natural language processing, Computer vision, Robotics, Autonomous systems, Data mining, Knowledge discovery, Intelligent systems, Decision support systems, Computational intelligence, Optimization techniques, Big data analytics, Human-computer interaction, User experience, Cognitive computing, Neuroscience-inspired AI, Ethical considerations in AI, Social implications of AI, Intelligent agents, Multi-agent systems, Cloud computing for AI, Edge computing for AI, AI in healthcare, AI in finance, AI in transportation, AI in gaming, AI in cybersecurity, AI for social good, AI for sustainable development, etc.