AIM
The mission of the Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) is to unite scholarly research and corporate expertise across all facets of Artificial Intelligence [1] and Neural Networking [2] in a format accessible to readers. The Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) aims to disseminate top-notch, peer-reviewed articles on Artificial Intelligence and Neural Networking. The research featured in the Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) holds practical significance, offering valuable insights for managers in leadership roles overseeing projects, programs, and portfolios. Therefore, both the theoretical and managerial implications of the research are essential. The Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) seeks exceptional contributions that bridge theory and practice, emphasising precision and practicality in Artificial Intelligence and Neural Networking.
SCOPE
The Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) covers a broad range of topics in Artificial Intelligence [1] and Neural Networking [2], including the following topics:
- Reasoning and Problem-Solving
- Knowledge Representation
- Planning and Decision-Making
- Machine Learning (ML)/ Neural Networking
- Natural Language Processing (NLP)
- Machine Perception
- Social Intelligence
- General Intelligence