Digital assistants utilize machine learning algorithms to enhance their ability to understand and respond to user requests. Through natural language processing, they analyze user input and generate contextually relevant responses. Continual learning from interactions helps these assistants improve performance over time. By recognizing patterns, they can personalize experiences and anticipate user needs more accurately. Tasks such as scheduling, information retrieval, and controlling smart home devices are made efficient thanks to these algorithms, illustrating the growing role of AI in daily life.