Overview

DeepCox researchers have published a comprehensive review article on Music Intelligence, tracing the evolution of artificial intelligence in music from early algorithmic composition to modern generative models. The work has been published in a peer-reviewed journal, the Journal of Artificial Intelligence and Soft Computing Research (JAISCR), and is now publicly available.

Details

The review "Artificial Intelligence in Music: A Bibliometric and Systematic Review of Creation, Performance, and Education" (JAISCR, Vol. 16, No. 2, pp. 185-214) analyzes over two decades of research across music generation, performance, education, and recommendation. It combines bibliometric analysis with a systematic review of methodologies, identifying key trends, influential works, and open challenges for the research community. The research provides a foundation for both new and experienced researchers entering the field of AI music.

Key Points

• A systematic mapping of AI music research from 2000 to 2025, covering thousands of publications
• Bibliometric analysis of authors, institutions, and citation networks to identify research clusters
• A taxonomy of methods spanning symbolic, audio, and multimodal music generation
• Discussion of evaluation metrics, ethical considerations, and future research directions

Learn More

This research also informs practical applications in music creation tools, educational platforms, recommendation systems, and performance assistance technologies. The paper is available at DOI 10.2478/JAISCR-2026-0010, with further resources on our Research page.