A perceptron is a type of artificial neuron and the simplest form of a neural network, invented by Warren McCulloch and Walter Pitts in 1943. It consists of a single layer of artificial neurons, each connected to the input, output, and another neuron through weights, which are adjusted during training to classify inputs into one of two classes.

• Neural Network Modeling
• Pattern Recognition
• Computer Vision
• Speech Recognition
• Text Classification
• Image Processing
• Natural Language Processing

For example, a perceptron can be used to classify images as either cats or dogs based on their features, such as color, shape, and size.

• ChatGPT has created a tool that can detect when written works are generated by artificial intelligence.