This inaugural editorial of the International Journal of Intelligent Signal Processing (IJISP) highlights the integration of artificial intelligence (AI), machine learning (ML), and traditional signal processing, transforming fields such as biomedical diagnostics, cybersecurity, autonomous systems, and communications. Despite advances, challenges such as data scarcity, computational complexity, model interpretability, and ethical concerns persist. IJISP aims to address these through high-impact research, interdisciplinary collaboration, and real-world applications. This issue explores emerging trends, including deep learning, edge AI, quantum computing, and privacy-preserving models, while e... More >