The European Journal of Emerging Artificial Intelligence (EJEAI) aims to advance the understanding, innovation, and responsible application of artificial intelligence (AI) across multiple scientific and industrial domains.
Our objective is to provide a scholarly platform for disseminating cutting-edge research, emerging trends, and practical implementations that contribute to the global AI community.
EJEAI encourages interdisciplinary collaborations and welcomes original contributions that expand the boundaries of AI theory, algorithms, and real-world solutions — promoting sustainable and ethical technological progress in Europe and worldwide.
The journal publishes high-quality original research articles, review papers, technical notes, and case studiesaddressing all aspects of emerging artificial intelligence and computational intelligence.
Its scope includes, but is not limited to, the following core and emerging areas:
Machine Learning & Deep Learning Architectures
Natural Language Processing (NLP) and Speech Technologies
Computer Vision, Image, and Video Analytics
Reinforcement Learning and Decision Intelligence
Neural Networks and Brain-Inspired Computing
AI in Healthcare, Education, and Smart Environments
Data Mining, Big Data Analytics, and Predictive Modeling
Cognitive Computing and Human–AI Interaction
Robotics, Automation, and Intelligent Systems
AI-Driven Cybersecurity and Risk Management
Ethical, Legal, and Social Implications of AI
AI in Internet of Things (IoT), Cloud, and Edge Computing
Hybrid AI Models and Explainable Artificial Intelligence (XAI)
AI Applications in Business, Finance, and Industry 5.0
Through its wide-ranging scope, EJEAI bridges the gap between theoretical research and industrial application, fostering innovation and collaboration among scientists, engineers, and AI professionals worldwide.