The great paradox in Artificial Intelligence is this:

• The human brain is the only intelligent system in the world. It's based on non-computational principles.
• The reasoning systems AI's use are based on computational principles. They obviously possess no intelligence comparable to the human brain.
• There are no real attempts of using a non-computational approach for a reasoning AI system. And almost nobody is interested in it.

Neural networks

The neural networks can be non-computational however they lack the reasoning function akin to the human brain. They are intended for pattern recognition.

AI for science and engineering 

There is very poor achievement in reasoning AI. There are no AI systems that can fulfill the job of a computer coder, for example.

The background of AI’s current problem

is that the problem is approached in the wrong way.  To get ready for artificial brain development you must your change style of thinking. Change the approach to a non-computational one, and AI systems will be more similar to human brains rather than computers soon.    Here is an old video of a model of a mostly non-computational system to solve logical puzzles. This is not an AI system, but rather a non-computational SAT solver (Boolean Satisfiability Problem). It was based on extended Boolean logic. But it was the first step to a real non-computational AI, with a reasoning ability similar to the human brain. We are working on it now.   https://youtu.be/TBB_yWQxXh4  This video shows the solving of the task from the book “The Lady or the Tiger” by Raymond M. Smullyan (chapter 2, paragraph 12 “The logical labyrinth”) http://www.logic-books.info/sites/default/files/lady-or-the-tiger-and-other-logic-puzzles.pdf Should you wish to contact me, my contact is down below. Sergey Bulanov brainlogic.org@gmail.com