Virtual assistants rely on several key technologies including natural language processing (NLP), machine learning, and speech recognition. NLP allows the assistant to understand and interpret human language, while machine learning enables it to learn from interactions and improve over time. Additionally, cloud computing is often used to store data and support the processing demands of virtual assistants. Sophisticated algorithms and contextual understanding are also essential for providing relevant responses and enhancing user experience.