The research is related to the field of NeuroAI, which examines parallels between the functioning of the nervous system and that of artificial intelligence (AI).
The researchers sought to determine how artificial intelligence could more accurately indicate the degree of certainty it has in its inferences about an image.
Tests conducted on various types of image data confirmed that the new model provides more consistent uncertainty estimates.
Thus, the researchers not only improved the AI’s performance but also developed a model based on a mechanism found in the biological nervous system.
The research thus points the way toward both more reliable artificial intelligence and a more accurate modeling of biological vision, according to a summary by the HUN-REN Wigner Research Center for Physics.