Team at Fudan University hopes to model artificial on human intelligence

According to this research, those areas of the brain responsible for studying and memory are highly changeable. Meanwhile, areas weakly correlated with intelligence include the visual, auditory and sensorimotor areas, which all have low changeability and adaptability. The research shows that high changeability leads to high intelligence and creativity and thus could help to develop artificial intlligence by developing neural networks which are more changeable and adaptable.

CAS news release, July 25, 2016

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