The tests carried out by the research team proved the effectiveness of the internal complexity model in carrying out numerous tasks.
The experiments also showed that it could provide new methods and theoretical support for integrating the dynamic characteristics of neuroscience into AI.Chinese researchers have announced a breakthrough which can change the course of artificial intelligence through a model that copies the behavior of neurons in the human brain .
To create the model, scientists tried to bridge the gap between the large and complex working of the AI models with the complex internal workings of the human brain, according to a report by theThe turnaround which the team’s findings can lead to is a system of AI development which does not rely on silicon-based processors or chips.While it has many applications, the growth of AI has also led to an increased demand for energy.
Therefore, scientists from the Chinese Academy of Sciences’ Institute of Automation, and Peking University got together with the aim to develop an AI model that can do more tasks with much smaller energy consumption.is much simpler and it intends to come up with several general-purpose models which would likely have better cognitive abilities.The scientists associated with the project refer to the new model as an “internal complexity model.
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