Published Article

This paper explores the transformative role of Artificial Intelligence (AI) in addressing complex mathematical problems, highlighting its growing potency, strategic approaches, and long-term prospects. With the advancement of deep learning, symbolic reasoning, and reinforcement learning, AI systems have demonstrated capabilities in solving differential equations, performing symbolic integration, and generating formal proofs. The study discusses emerging strategies such as neuro-symbolic models and automated theorem proving, which combine human-like reasoning with computational power. Additionally, it reviews landmark achievements where AI has contributed to new mathematical insights through collaboration with experts. The prospects of AI in mathematics indicate enhanced efficiency, creativity, and accessibility in problem-solving. This work also stresses the importance of ethical deployment, transparency, and interdisciplinary collaboration. Strategic integration of AI in education and research will further unlock its potential. By augmenting human intuition and logical thinking, AI is set to redefine the landscape of mathematical innovation. The study concluded that As AI tools evolve, they promise to enhance creativity, not just computation. This synergy is reshaping mathematical research and problem-solving. The study also recommended that governments and academic bodies should fund research into hybrid AI models that combine symbolic logic with deep learning to advance AI’s reasoning capabilities in mathematics.

KEYWORDS:Artificial Intelligence, Complex Mathematical Problems and Education