Since 2021, aggregated from related topics
Artificial Neural Networks (ANNs) are computational models inspired by the structure and functioning of biological neural networks in the human brain. They consist of interconnected nodes, known as artificial neurons or units, which work together to process complex data inputs, learn patterns, and make predictions or decisions. ANNs are commonly used in machine learning and deep learning applications for tasks such as image and speech recognition, natural language processing, and predictive modeling. They are highly versatile and can adapt to different types of data and problem domains, making them a popular choice for a wide range of applications in various industries.