Neural networks are a type of artificial intelligence (AI) that is modeled on the human brain. These brain-like networks are composed of multi-layered interconnected neurons, or nodes. The nodes are connected by synapses, which transmit information from one neuron to another. Neural networks can learn to recognize patterns of input data and can make predictions based on these patterns.
Companies use neural networks for a variety of tasks, including image recognition, identification of spoken words, and prediction of financial markets. Neural networks have been shown to be particularly effective at these tasks because they can learn to recognize patterns that are too complex for humans to discern.