What are hybrid systems in AI?

What are hybrid systems in AI?

Hybrid systems in AI combine different approaches, like symbolic reasoning and machine learning, to enhance performance.

Can you give me an example of a hybrid system?

Sure! An example is a self-driving car that uses both rule-based systems for navigation and neural networks for object recognition.

What are the advantages of using hybrid systems?

Hybrid systems can leverage the strengths of various methods, improving accuracy, flexibility, and robustness in complex tasks.

Are there any challenges associated with hybrid systems?

Yes, challenges include integration complexity, increased computational requirements, and the need for careful tuning of different components.