The team is looking into specific differences in the way artificial and natural systems interpret information based on a comparison of German data from monkey experiments with the mechanisms used by AI systems, Gergő Orbán, research fellow of the Wigner Center told national television channel M1 in an interview.
“Our goal is to identify the underlying mathematics of biological systems,” Orbán said, adding that finding the similarities and differences between the mathematical algorithms used by live organisms and artificial neural networks should lead to a better understanding of the way our brains work.
Orbán said the operation of neural networks can help predict how our brains will process unexpected information and his team came to the conclusion that the mathematics of artificial and natural systems are quite different.
He said that natural systems – in this case, monkey brains – have their inner models of the world surrounding them which enables them to have a concept of and be able to handle uncertainty, something artificial systems are not yet capable of. Orbán said their research should ultimately be conducive to creating better AI systems.
