About the Journal

AlgoVista: Journal of AI & Computer Science (AVJCS) is a peer-reviewed publication dedicated to advancing research in the fields of Artificial Intelligence, Machine Learning, and broader Computer Science disciplines. As technological innovation continues to accelerate and data-driven applications become increasingly integral across industries, AVJCS provides a platform for researchers, data scientists, and computer science professionals to explore cutting-edge techniques, models, and applications in AI and ML.

The journal covers a broad range of topics, including but not limited to natural language processing, computer vision, reinforcement learning, neural networks, data mining, and algorithmic advancements. AVJCS also emphasizes the application of AI and ML in real-world scenarios such as healthcare, finance, robotics, and autonomous systems, offering a space for interdisciplinary research that showcases practical implementations of AI-driven solutions.

AVJCS welcomes original research articles, review papers, and methodological innovations that demonstrate the effectiveness and utility of AI and ML techniques in addressing complex problems across various sectors. The journal also encourages submissions that explore theoretical aspects of machine learning, ethical implications of AI, and the development of tools that facilitate AI model interpretability and robustness.

By fostering collaboration between academic researchers, industry experts, and data practitioners, AVJCS aims to contribute to the growth and advancement of the AI field, accelerating scientific discovery, promoting ethical AI development, and inspiring innovations that can transform industries and society.