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Integrating Neuroscience with Machine Learning
This chapter explores the complexities of incorporating the Thousand Brains Theory into machine learning, emphasizing the need for innovative approaches that go beyond traditional benchmarks. It contrasts the efficiency of human learning and memory formation with current AI methodologies, highlighting the limitations of existing neural network models. The discussion advocates for an interdisciplinary approach that draws from neuroscience to deepen our understanding of intelligence and its mechanisms.