Artificial Intelligence and Machine Learning (AI/ML)

This category covers research focused on developing, advancing, and applying AI and machine learning techniques across various domains. Submissions may include theoretical innovations, novel algorithms, practical implementations, and interdisciplinary applications of AI. Topics of interest include but are not limited to deep learning, neural networks, reinforcement learning, natural language processing, computer vision, AI ethics, explainable AI, edge AI, and AI-driven automation. Research exploring the societal impact, ethical concerns, and regulatory frameworks of AI is also welcome. Submissions should provide original insights, experimental validations, or real-world applications of AI/ML methodologies.