JOURNAL OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (JAIML)

About the Journal

The Journal of Artificial Intelligence and Machine Learning (JAIML) is an open-access, peer-reviewed international journal published by IAEME Publication. It serves as a platform for exploring and investigating various aspects of artificial intelligence and machine learning. This journal delves into the realms of living systems intelligence, human-level cognition in artificial systems, self-learning algorithms, and intelligent autonomous robots. It also provides a forum for researchers and practitioners to access and contribute to the latest advancements in machine learning methods, tools, and algorithms. JAIML promotes research in the emerging fields of artificial life and machine learning, seeking to enhance our understanding of real-world problems through bioinspired or human-like systems. The journal welcomes submissions of concepts, theories, systems, technologies, and procedures that demonstrate properties, phenomena, or capabilities akin to those found in living systems or humans.