How to Work with Neural Networks and What Will Happen to Web Designers?

Like many others, I am concerned about the issue of neural networks’ relationship to programming. I respect the field as any technology used by humans to solve important problems. But there is one problem. For example, a neural network can perform the same tasks as a human, but it has limitations that impose difficulties related to finding solutions. A standard set of algorithms does not give a good result in a short time, but after some time of training, a neural network can already solve tasks with great speed. And this is just one of many thousands of tasks that a neural network solution can solve.

So that’s what I’m getting at. Unlike a web design product, neural networks, because of the long learning curve, do not generate immediate profits, despite being a potentially very profitable product that will probably be very useful in the future. The power required to train artificial intelligence is doubling every three to four months – it has grown more than 300,000 times since 2012. Soon, the computational capabilities of even the most powerful computers will become insufficient for AI training, so the search for fundamentally new solutions is necessary. Artificial intelligence is waiting for its revolution. Now one neural network is one task. Moreover, large artificial intelligence systems are too power-hungry (and expensive). If scientists can’t solve these problems, the development and scaling of entire segments of the economy will be jeopardized.

Why can’t neural networks fully replace web designers?

At first and until the mid-nineties, creating websites was exclusively routine and laborious work (designing and rendering). But even now you can do something interesting if you know the basics and structure the task in an interesting way. Maybe a neural network can use certain elements of the web development process, but figuring out how to do it technically, no, that’s not its task.

The thing is that research in this area is certainly trying to be done, but it’s impossible to describe the full algorithm of how it works. At the moment. The whole thing is the following – all areas of the brain include a certain set of neurons. These are certain structures of neurons that are built in our brains during our lives. Each region can include up to 30-40 neurons with a total length of 100 to 300 kilometers. The structures of neurons and the specific structural addresses of these neurons make up a large part of our memory, so these are the memorizing regions of the brain. A person’s intelligence quotient (IQ) does not change much, but long-term memory does change significantly. When the structures of brain neurons in one brain region (material organ) coincide in people with different types of associative thinking, for example, mathematical and verbal, the brain tissue forms two different memory cells – one has the structure of neurons of only verbal memory, and the other has the structure of only mathematical memory. Moreover, a significant portion of neurons in associative areas occupy the neocognitive activation domain (neurons involved in information processing and thinking processes).

The situation with pattern recognition is similar. Suffice it to recall that the average person has no pattern recognition processes, but the human psyche allows a person to memorize information that differs from their representation.

To better understand why artificial intelligence cannot yet fully replace humans, let’s learn more about what a neural network is.