Artificial Neurons

Artificial neurons are computational models inspired by biological neurons in the human brain. They receive input signals, which are weighted to reflect their importance, and process these signals using a mathematical function to produce an output. Think of it as a decision point: if the combined input exceeds a certain threshold, the neuron "fires" and sends a signal forward. These artificial neurons are the building blocks of neural networks, enabling machines to recognize patterns, learn from data, and perform complex tasks like language processing and image recognition. Essentially, they mimic basic aspects of brain activity to help computers learn and adapt.