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Showing posts with the label Machine Algorithms

Bridging Minds and Machines: Parallels Between Human and Machine Learnography

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Human learnography and machine learnography share fundamental principles in pattern recognition, memory formation, motor knowledge transfer and error correction. What is learnography? Are we ready to embrace this new frontier of knowledge transfer? From Brain to AI: Common Principles of Human and Machine Learnography As AI systems evolve to mirror human cognition, the fusion of biological intelligence and machine intelligence is revolutionizing learning and productivity. This article explains the science behind this parallel and explores the future of hybrid learning models that optimize both human and machine intelligence. Highlights: Fundamental Principles of Human Learnography and Machine Learnography Neural Networks vs Machine Algorithms: Learning by Patterns Memory Storage: Brainpage vs Data Models Motor Science and AI: Role of Automation in Learning Error Correction: Trial and Feedback Mechanisms Creating the Superior Knowledge Transfer Model for Schools Bridging Minds and Mach...