This article discusses the lack of a solid theoretical framework for understanding how the brain works and the implications this has for the development of computational models and algorithms for artificial intelligence and machine learning. It proposes a physical model of the brain’s electrical signals and their communication, which could lead to more effective AI and ML methods.
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