Focus and Scope

Sundara Advanced Research on Artificial Intelligence (Sundara Journal) is an international, quarterly, open-access journal published by Sundara Publishing. This journal serves as a platform for disseminating high-quality research in the field of Artificial Intelligence, including theoretical advancements, practical applications, and interdisciplinary studies that address real-world challenges.

The journal aims to support the sustainable development of AI and its alignment with the United Nations Sustainable Development Goals (SDGs), promoting innovative and responsible research contributions.

Areas of Interest

The scope of Sundara Journal encompasses, but is not limited to, the following areas:

      1. Machine Learning Research on algorithms and models that enable machines to learn and make decisions autonomously. Topics include supervised, unsupervised, and reinforcement learning.

      2. Deep Learning Advanced neural networks and architectures for applications such as computer vision, speech recognition, and natural language processing.

      3. Natural Language Processing (NLP) Computational techniques for understanding, interpreting, and generating human language.

      4. Robotics Design and development of autonomous systems, robotic process automation, and AI-driven robotic functionalities.

      5. AI Ethics Ethical considerations, policy frameworks, and governance models for the responsible development and deployment of AI systems.

Contribution to Global Goals

Sundara Journal emphasizes research that contributes to global challenges, addressing issues such as sustainability, education, and healthcare through innovative AI solutions.