Mimicking the brain can improve AI performance

A new approach developed at the University of Surrey takes direct inspiration from biological neural networks of the human brain

University of Surrey researchers have developed a new approach to improve artificial intelligence (AI) performance by mimicking the networks of the human brain.

According to a study published in Neurocomputing, mimicking the brain’s neural wiring can significantly improve the performance of artificial neural networks used in generative AI and other modern AI models such as ChatGPT.

Topographical Sparse Mapping connects each neuron only to nearby or related neurons, similarly to how the human brain organises information efficiently.

Dr Roman Bauer, senior lecturer, said: “Our work shows that intelligent systems can be built far more efficiently, cutting energy demands without sacrificing performance.”