What is the difference between AI and neural networks?

What is the difference between AI and neural networks?

AI, or artificial intelligence, is a broad field that encompasses various technologies and methods to simulate human intelligence. Neural networks are a specific subset of AI that mimic the way human brains work to process data.

Can you explain how neural networks work?

Sure! Neural networks consist of layers of interconnected nodes, or neurons, that process input data. Each connection has a weight that adjusts as learning occurs, allowing the network to recognize patterns and make predictions.

Are neural networks the only way to achieve AI?

No, there are many approaches to AI, including rule-based systems, decision trees, and genetic algorithms. Neural networks are just one of the many techniques used.

What are some applications of neural networks?

Neural networks are used in various applications, such as image and speech recognition, natural language processing, and even in autonomous vehicles.