The Mini Symposium on Advanced Applications of AI and Machine Learning Paradigms serves as a premier forum for researchers, data scientists, and practitioners to explore the transformative impact of artificial intelligence and machine learning in solving complex, real-world problems. To provide a comprehensive and targeted exploration of modern computational intelligence, the program is structured into three dedicated core focus areas: General AI, Finance and Insurance, and Healthcare.

Across these program focus areas, sessions will highlight pioneering methodologies and practical solutions within key application domains, including:

• AI Applications in Healthcare: Revolutionizing patient outcomes, diagnostic accuracy, and personalized medicine through predictive analytics.
• AI Applications in Finance, Insurance and Business: Driving algorithmic trading, risk assessment, fraud detection, and automated financial decision-making frameworks.
• Computer Vision and Image Analysis: Advancing spatial awareness, medical imaging, automated visual inspection, and structural recognition.
• Intelligent Transportation Systems: Optimizing autonomous mobility, smart grid logistics, and urban transit predictability.
• Generative AI and Natural Language Processing: Redefining human-computer interaction, automated content synthesis, and complex linguistic comprehension.

Through a curated series of high-impact invited talks, participants will delve into cutting-edge algorithmic advancements, emerging methodological frameworks, and scalable implementations. These sessions are strategically structured to bridge the gap between theoretical AI models and their practical, ethical deployment, fostering cross-disciplinary collaboration and inspiring next-generation technological solutions.