What are the differences between neural networks and symbolic AI?

What are the differences between neural networks and symbolic AI?

Neural networks are data-driven and learn from examples, while symbolic AI relies on explicit rules and logic.

Can you give me an example of how each approach works?

Sure! Neural networks might recognize images by analyzing pixel data, while symbolic AI could solve a math problem using predefined rules.

Which approach is better for natural language processing?

Neural networks, especially deep learning models, have shown superior performance in natural language processing tasks.

Are there any limitations to using neural networks?

Yes, they require large amounts of data and can be less interpretable compared to symbolic AI.

What future trends do you see in AI development?

We may see a hybrid approach combining both neural networks and symbolic AI for more robust solutions.