Yes, Google DeepMind is now able to teach itself based on the information it already has.
An important step for artificial intelligence, Alphabet's hybrid system, called Differential Neural Desktop (DNC) uses the data it already has stored from conventional computers and matches it with a very smart AI and a neural network capable of fast parsing.
"These models can learn from examples, like neural ones networks, but they can also store complex data, just like computers," said DeepMind researchers Alexander Graves and Greg Wayne.
What does this mean;
Just like a brain, the nervous network uses interconnected nodes to stimulate specific centers needed to complete a task. In this case, AI optimizes nodes to find the fastest solution and deliver the desired result.
According to the researchers, over time, it will use the data obtained to make it more effective in finding the right answer.
So instead of having to learn every possible outcome to discover a solution, DeepMind will be able to find answers from his past experiences, from his internal memory and not from external programming.
Depending on the viewpoint everyone sees, the event could be a serious turn to the smartest AI that one day they can think and learn, just as people do.
https://deepmind.com/blog/differentiable-neural-computers/