What are some real-world examples of both AI architectures?

What are some real-world examples of both AI architectures?

There are two main AI architectures: symbolic AI and neural networks. For symbolic AI, an example is expert systems used in medical diagnosis. For neural networks, applications like image recognition in social media platforms are common.

Can you give more details about the expert systems?

Sure! Expert systems use a set of rules and knowledge bases to mimic human decision-making. They are widely used in fields like finance for credit scoring and in healthcare for diagnosing diseases.

What about neural networks? How do they work in image recognition?

Neural networks process images through layers of interconnected nodes. Each layer extracts features, allowing the system to recognize patterns and classify images accurately, like identifying faces in photos.

Are there any other applications of these architectures?

Yes, symbolic AI is also used in natural language processing, while neural networks are applied in autonomous vehicles and speech recognition.