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#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]

Machine Learning Street Talk (MLST)

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Navigating Data and Cognition

This chapter explores the intricacies of data sampling in metric spaces and its implications for intelligent systems. It highlights cognitive modeling influenced by neuroscience, discussing how concepts like Markov blankets and actions-perception cycles inform machine learning architectures. Additionally, the dialogue addresses the challenges of integrating diverse cognitive frameworks and optimizing data processing for sustainability in AI development.

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