Lately, there has been a lot of hype around Neural Networks. They took over the field of AI, finding applications in computer vision, medicine, natural language processing, etc.
There are active fields of research in understanding them and their capabilities, but it seems like solving more and more AI problems is more about finding the right NN architecture (there is also active research on metalearning - automating the design of neural nets).
Since more and more problems can be solved by finding the right architecture of a neural network, can we say that a new programming paradigm is being born?
Edit: Most answers argue that neural networks are by no means new. Indeed, they have been present for at least 50 years, at least since when the perceptron was introduced in late fifties. I would say that neural networks, as we know them, have been around since backpropagation started being applied to neural networks in eighties. However, there seems to be an exponential increase in usage of neural networks. The question was revolving around the idea that with neural networks, solving a problem is about designing an architecture that solves the problem. Considering this exponential increase in their usage and number of applications, at which point may neural networks be considered a paradigm on its own?