Artificial Intelligence and Neurosciences

Abstract

In the present white paper we talk about issue of invariant depictions is the way to overcoming the
limitations natural in the present neural frameworks and to making progress towards Solid AI.
Considering this explanation, we portray an assessment system towards the best in class time of AI
estimations past at present overwhelming significant learning perspective.
Following the instance of natural cerebrums, we propose an independent adapting approach to
manage disentangle the issue of invariant depictions. A drew in interdisciplinary research effort is
required to develop a hypothetical numerical theory of invariant depictions and to apply it in the
progression of utilitarian programming estimations, while both applying and overhauling our
applied cognizance of the (human) mind.