"Techniques inspired by synaptic pruning are essential for optimizing AI models, reducing computational costs and improving generalization."
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The Book explores the parallels between human neurodevelopment and the design of artificial intelligence (AI) systems. It emphasizes how understanding the stages of brain development—including neural plate formation, plasticity, critical periods, self-organization, synaptic pruning, and redundancy—can inform the creation of AI systems that are more adaptive, efficient, and robust.
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Machine learning: Machine learning engineers develop and deploy machine learning models to solve real-world problems. They are in high demand by companies in a variety of industries, including technology, finance, and healthcare.
Artificial intelligence: A...
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