Artificial neural networks are a very limited copy of the real thing. " During the learning phase, they merely adjust their connection weights based on training examples. They lack the capacity to self-organize, grow, and adapt to new situations like biological neurons." This, suggests Ben Dickson in his summary of a paper called Towards Self-Assembling Neural Networks, is the next step in AI. "The vision outlined in the paper is to develop an AI system where neurons self-assemble, grow, and adapt based on the task at hand, emulating the natural processes observed in biological networks." This process is controlled by a "controlled by a second network operating within each neuron, termed the Neural Developmental Program (NDP)." The reality is that we're at the very beginning of the age of artificial intelligence.
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