>>16707275I am only providing a single example, and it is a valid example. The 80s was only the start of this research.
https://arxiv.org/pdf/1511.06434
Am not saying those fields are not wortwhile, am just providing an example. Neural networks are my field of interest and papers like these were published in the last 20 years. Statistics, integration, and matrix transformations are the basic building blocks of neural networks. That is the basic model from the 80s. Newly published models take this concept and expand on it in more complex ways.
A DCGAN is a variant of a GAN that uses a Convolutional Neural Network (CNN) to in both the discriminator and generator to generate more accurate results and rely on less training data. In other words, it is an improvement on efficiency. Generative Adversarial Networks (GANs) themselves combine two neural networks that work on those fundamental concepts as you describe them to generate realistic imitations of training data fed to the discriminator.
GANs were invented in 2014. New research is being published all the time to develop new models and improve existing ones. You understand the basics of it but the current research is in higher orders of abstraction and complexity. I find it is an exciting field as it leads to technological development and is much more challenging than most commercial software development.
>>16707419Actual science. Basic web development is not "slop" but once you master the fundamentals it stops being intellectually challenging. That is what drew me to the scientific side of programming. You actually get to work with higher level math in interesting ways.
Neuroevolution is very fascinating and exciting. We can build neural networks that think, learn, and evolve like an organic living being. Some people are superstitious about this but it is really just multiplying matrices at the fundamental level.
Just like how everything that a computer does can be reduced to flipping 1s and 0s.