👉 The development of AI, particularly in the realm of machine learning and deep learning, has seen significant advancements over the past decade. Initially focused on rule-based systems, AI has evolved to incorporate neural networks and large datasets, enabling machines to learn from data and improve performance autonomously. Key milestones include the creation of deep learning architectures like convolutional neural networks (CNNs) for image recognition and recurrent neural networks (RNNs) for sequence data, as well as breakthroughs in natural language processing (NLP) through models like transformers. These developments have led to applications ranging from autonomous vehicles and healthcare diagnostics to personalized recommendations and advanced virtual assistants, transforming industries and daily life.
