A recent study suggests that artificial intelligence (AI) has the potential to surpass human intelligence in the future. The research delves into the complexities of AI and the human brain and proposes a new theoretical framework, indicating that by applying AI technology at the cellular level of neuroscience, AI could infinitely approach the functionality of the human brain, potentially even surpassing human intelligence levels. The human brain is widely regarded as one of the most complex systems in the universe, while artificial intelligence is seen as one of the most important technologies in human history. A core question looms: Will artificial intelligence ultimately surpass human intelligence?

The Institute of Automation of the Chinese Academy of Sciences, in collaboration with Tsinghua University, Peking University, and other institutions, has proposed a method for constructing brain-like neuron models based on endogenous complexity. This method demonstrates the equivalence of the dynamic characteristics of the LIF model and HH model in spiking neural networks and enhances the endogenous complexity of the computational unit through microarchitecture design, allowing the HH network model to simulate larger-scale characteristics of the LIF network model. The research team has also simplified the model to the s-LIF2HH model, and validated its ability to capture complex dynamic behaviors through simulation experiments.

Scientists from Harvard University and Google's DeepMind AI Lab have collaborated to create a virtual AI mouse, which is not only a technological breakthrough but may also open up a new field called "Virtual Neuroscience". The significance of this research lies in its potential to not only help us understand how the brain controls complex body movements but also to have a profound impact on neuroscience and robotics. Virtual Rat: AI Brain for Agile Movements Imitating the Evolutionary Miracle: T