The American Journal of AI & Innovation (AJAI) is a peer-reviewed, open-access journal dedicated to advancing research and development in Artificial Intelligence (AI) and innovation-driven technologies. AJAI serves as a platform for academics, researchers, and industry professionals to publish high-quality, cutting-edge research in AI, machine learning, deep learning, natural language processing, robotics, computer vision, and related fields.
Scope & Focus
AJAI welcomes original research articles, review papers, case studies, and technical reports on topics including, but not limited to:
- Artificial Intelligence & Machine Learning
- Deep Learning & Neural Networks
- Natural Language Processing (NLP)
- Computer Vision & Image Processing
- AI Ethics & Responsible AI
- AI in Healthcare, Finance, and Business
- Internet of Things (IoT) & Smart Systems
- Blockchain & AI Integration
- Robotics & Autonomous Systems
- AI-driven Innovations and Startups
Why Publish with AJAI?
- Rigorous Peer Review: Ensuring high research quality and originality.
- Global Reach: Indexed in major research databases for maximum visibility.
- Open Access: Free access to cutting-edge AI research worldwide.
- Fast Publication: Streamlined review and publication process.
Target Audience
- AI Researchers & Academicians
- Data Scientists & Engineers
- Innovators & Startups
- Industry Professionals & Tech Leaders
- Policy Makers & AI Enthusiasts
AJAI is committed to fostering collaboration between academia and industry to drive the future of AI and technological innovation.
Current Issue
Vol. 7 No. 7 (2025): AJAI
Published: 2025-03-04