Description: Artificial Neural Networks (ANN) are computational models inspired by the human brain designed to recognize patterns. These structures consist of interconnected nodes, known as neurons, that work together to process information. Each neuron receives inputs, transforms them through mathematical functions, and produces an output that is transmitted to other neurons. This learning process is based on adapting the weights of the connections between neurons, allowing the network to improve its accuracy as it is exposed to more data. ANNs are fundamental in the field of artificial intelligence, enabling the automation of complex tasks such as voice recognition, computer vision, and natural language processing. Their ability to learn from large volumes of data makes them powerful tools in the era of Industry 4.0, where the integration of advanced technologies is crucial for innovation and efficiency. Additionally, their implementation in Edge Computing environments allows for real-time inferences, optimizing resource use and enhancing technological sustainability.
History: Artificial Neural Networks have their roots in the 1940s when Warren McCulloch and Walter Pitts proposed a mathematical model of neurons. However, significant development began in the 1980s with the backpropagation algorithm, which allowed for training deeper networks. Over the years, interest in ANNs has grown, especially with the increase in computational power and the availability of large datasets, leading to advancements in their application across various fields.
Uses: Artificial Neural Networks are used in a variety of applications, including voice recognition, computer vision, natural language processing, and recommendation systems. They are also employed in time series prediction, medical diagnosis, and the automation of industrial processes.
Examples: A notable example of the use of Artificial Neural Networks is Google’s image recognition system, which uses ANNs to identify objects in photographs. Another example is Amazon’s virtual assistant, Alexa, which employs ANNs to understand and process voice commands.
