Abstract: AI has evolved remarkably from the 1950s to today’s deep learning models, driven by advancements in computing power, big data, and neural networks. Key milestones include symbolic reasoning, machine learning, and deep learning, enabling AI to revolutionize industries like healthcare, business, and education. AI-powered tools enhance diagnostics, robotic surgeries, and drug discovery, while adaptive learning platforms and AI tutors personalize education. Breakthroughs in reinforcement learning have led AI to excel in complex tasks like game playing and natural language processing. However, AI also raises ethical concerns, including privacy, bias, and job displacement, requiring responsible governance. While AI holds immense potential to solve global challenges, its future depends on careful oversight to ensure fairness, transparency, and societal benefit. Keywords:Artificial Intelligence (AI), Symbolic Reasoning, Machine Learning (ML), Deep Learning, Neural Networks, Computing Power, Robotic Surgeries. Adaptive Learning, AI Tutors, Reinforcement Learning, Ethical Concerns
Prasanna Begamudra Rangavittal
Prasanna Begamudra Rangavittal