
About the Journal
The International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) is an open-access scientific journal whose mission is to support the advacement of science and tecnological innovation worldwide by providing a platform for researchers, academics and professionals to publish high-quality research in artificial intelligence and interactive multimedia. The journal aims to foster global knowledge sharing by ensuring unrestricted access to original, peer-reviewed articles and therefore has adopted a Diamond Open Access model that eliminates financial barriers for both readers and authors.
IJIMAI publishes articles dealing with theory, methods, design, systems, algorithms, and applications of the topics listed below.
Current Issue

Artificial Intelligence (AI) is a scientific discipline that aims to drive disruptive scenarios for science-based technical developments that solve complex problems. The IJIMAI journal’s scope is precisely to demonstrate how the combination of two factors — technical foundations and sought-after applications — must guide future AI developments to find solutions to complex real-world problems. This IJIMAI publication opens with an article that considers the current framework for AI fundamentals: how can we improve AI technology to find solutions to real-unsolved problems? The initial answer seems to be related with a desired self-consistent procedure: let machines learn from our experience. In the article by Alotaibi et al., the analysis of neural networks in terms of the parameters used, how they work, and how do they respond to the problem itself led the authors to a rationale for decision-making regarding the performance of different neural models. The immediate question that arises is whether there are any universal and fundamental criteria that can be used to define the models that guide AI methods. Apparently, there are not such universal methods, and we are faced with a challenging open problem. Subsequent manuscripts will provide readers with more in-depth insights into this issue.