About the Journal

About AAIR

Applied Artificial Intelligence Research (AAIR) is an international journal dedicated to cutting-edge research and innovative practices in the field of artificial intelligence. It aims to provide a premier academic exchange platform for scholars, researchers, and industry experts worldwide, promoting the continuous advancement of AI theories and technologies while accelerating their deep integration and broad application across multiple domains.

 

This journal focuses on core research areas of artificial intelligence, encompassing machine learning, deep learning, natural language processing, computer vision, robotics, intelligent systems, data mining, knowledge graphs, and more. It welcomes both groundbreaking achievements in fundamental theoretical research and innovative explorations with significant practical value. By publishing high-quality original research papers, review articles, case studies, and technical notes, AAIR comprehensively showcases the latest developments and trends in the AI field.

 

AAIR adheres to rigorous, impartial, and open peer-review principles. It has established a professional review team composed of internationally renowned scholars and industry experts to ensure that every published paper demonstrates academic merit and innovation. The journal emphasizes interdisciplinary research, encouraging the convergence of AI with computer science, mathematics, statistics, biology, psychology, social sciences, and other disciplines, thereby fostering innovative thinking and new research directions.

 

Aim:Applied Artificial Intelligence Research (AAIR) aims to become a premier international forum for disseminating cutting-edge research, innovative methodologies, and interdisciplinary insights in applied artificial intelligence. The journal seeks to bridge theoretical advancements with real-world applications, fostering robust discussions on the ethical, legal, and societal dimensions of AI deployment. By promoting rigorous peer-reviewed scholarship, AAIR strives to accelerate the responsible integration of AI technologies across scientific, industrial, and public sectors, ultimately contributing to sustainable global progress.

 

Scope:

AAIR welcomes original research, reviews, and case studies spanning the full spectrum of applied AI, with emphasis on the following domains:

Machine Learning & Deep Learning

Natural Language Processing (NLP)

Computer Vision (CV)

Intelligent Robotics & Autonomous Systems

AI & Data Science

AI + Domain-Specific Integration

Trustworthy & Responsible AI

Emerging Technologies

Reviews & Progress

Case Studies & Technical Reports