Title: The Evolution of Artificial Intelligence: A Comprehensive Review
Authors: Dr Neha Paliwal
Volume: 10
Issue: 7
Pages: 595-600
Publication Date: 2026/07/28
Abstract:
This research paper offers a comprehensive exploration of the evolutionary journey and multifaceted impact of Artificial Intelligence (AI) on contemporary society. Beginning with its philosophical roots and historical milestones, the paper delves into the first wave of AI, marked by rule-based systems, followed by the challenging AI Winter of the 1980s-1990s. The resurgence of interest in the late 1990s, particularly with the advent of machine learning and neural networks, sets the stage for a transformative phase in AI. The convergence of big data and AI ushers in an era of innovation, with breakthroughs in machine learning algorithms and successful applications across diverse domains. The paper highlights the pivotal role of deep learning and advancements in neural network architectures, specifically Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Real-world applications in healthcare and finance exemplify this impact. Furthermore, ethical considerations regarding AI autonomy, implementation challenges, and responsible deployment are addressed to provide a holistic perspective on the current AI landscape. Finally, future trajectories-including federated learning and Explainable AI (XAI)-are examined alongside AI's potential in addressing global challenges.