Which of the following tasks can artificial intelligence perform?

Artificial intelligence is designed to perform complex problem-solving and learning from data, which encapsulates a wide range of intelligent behaviors. This includes analyzing large datasets, recognizing patterns, making predictions, and improving performance over time based on feedback. AI algorithms can learn from experience and adapt their approach, which allows them to tackle intricate tasks that go beyond simple algorithmic solutions.

The nature of AI enables it to manage complexities such as natural language processing, image recognition, and even strategic decision-making in dynamic environments. This differentiates it significantly from simpler tasks and traditional programming, which typically involve straightforward instructions without adaptive learning capabilities.

The other options depict capabilities that do not fully align with the essence of artificial intelligence. While they may involve computational tasks, they lack the learning and adaptive components that characterize AI. Manual data entry, for instance, is a straightforward repetitive task that does not require intelligence or learning. Simple algorithms, while they can be part of AI applications, do not capture the depth of AI functionality. As for string matching, although it is a task that can be automated, it does not inherently involve the advanced problem-solving and learning dimensions that define AI.