Applied AI chips with neural networks fail to capture and scale different forms of human intelligence. In this study, the definition of a strong AI system in hardware and architecture for building neuro-memristive strong AI chips is proposed. The architecture unit consists of loop and hoop networks that are built on recurrent and feedforward information propagation concepts. Applying the principle that 'every brain is different', we build a strong network that can take different structural and functional forms. The strong networks are build using hybrids of loop and hoop networks having generalisation abilities, with higher levels of randomness incorporated to introduce greater flexibility in creating different neural architectures.