Authors : K. Ragavi

Volume/Issue : ICMST-2025

Google Scholar : https://tinyurl.com/5x7x7xcn

Scribd : https://tinyurl.com/53z3yyxf

DOI : https://doi.org/10.38124/ijisrt/25nov747

Abstract : Artificial Intelligence (AI) has emerged as a transformative force across industries, research, and society, enabling systems that can perceive, learn, reason, and act autonomously. Over the past decade, AI has transitioned from narrow, rule-based systems to general-purpose models capable of understanding natural language, vision, and multimodal inputs. This paper provides a comprehensive study of the advancements in artificial intelligence, focusing on major trends, emerging technologies, challenges, and future directions. It explores breakthroughs in deep learning, reinforcement learning, generative modeling, and AI-driven automation, along with challenges such as bias, explainability, ethical dilemmas, and sustainability. The study emphasizes the need for transparent, reliable, and human-aligned AI systems. Finally, the paper outlines future research pathways including neurosymbolic reasoning, edge intelligence, green AI, and global governance frameworks for safe and responsible deployment.

Keywords : Artificial Intelligence, Deep Learning, Generative AI, Trends, Challenges, Future Directions, Ethics, Responsible AI.