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Artificial neural networks simulate the brain in one way: the strength of the connections between the neurons that make up an artificial neural network, known as the synaptic weight W, can be used to store acquired knowledge.

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The human brain is a naturally evolving generative system that is automatically generated from scratch. Modern computer hardware is a constitutive system, which is malleable because modern computer hardware can be replaced. ()

The basic idea of using brain-like computing to achieve brain-like intelligence is to simulate the function of biological neurons to achieve brain-like computing. This method will help overcome the inherent defect in the realization of human-like intelligence by the von Leuman system architecture to a certain extent. ()

The ethical and moral problems caused by intelligent machines and robots may be contrary to human moral concepts, so we should stop developing intelligent machines.

At present, the definition of intelligence has been made clear, which is defined as: intelligence is an individual's comprehensive ability to actively adapt to the environment or solve problems, obtain information, refine and apply knowledge, understand and understand things in the world, take reasonable and feasible (intentional) strategies and actions, solve problems and achieve goals.

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