The technology that uses machine learning to improve search engines is often referred to as AI-driven search. By analyzing user behavior, search patterns, and content relevance, machine learning algorithms can enhance the accuracy of search results. Techniques such as natural language processing (NLP) and predictive analytics help refine search queries, ensuring that users receive pertinent information quickly. This technology continues to evolve, leading to more personalized and efficient search experiences across various platforms.