The term Progressive Neural Networks originates from the fields of Artificial Intelligence, Automation, and Big Data and Smart Data. Progressive Neural Networks are a special type of artificial neural network designed to improve over time. They can transfer knowledge learned in one task to new tasks, thereby continually evolving.
Imagine progressive neural networks like an employee who uses their accumulated experience with each new task to work faster and more efficiently. For example, such a network can first learn to recognise cats in images. Later, it can use this knowledge to distinguish other animals in images as well, without having to start completely from scratch again.
What's special about Progressive Neural Networks is that, unlike classic models, they „learn more“ without losing old knowledge. This saves development costs and makes applications in areas like automation or smart data analysis particularly effective. As a result, Progressive Neural Networks specifically help companies solve complex tasks more flexibly and drive innovation faster.
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