Between Greed and Fear: How AI Strikes the Balance for Good Generalization

May 11, 2025
dr roitmanCo-Founder & CTO of I Know First Ltd. With over 35 years of research in AI and machine learning. Dr. Roitman earned a Ph.D  from the Weizmann Institute of Science

Summary

  • AI achieves good generalization by balancing greed (overfitting) and fear (underfitting), overcoming human biases in decision-making.
  • Techniques like PCA, regularization, and ensemble methods work together to focus on key patterns, control complexity, and harness collective wisdom.
  • Genetic feature evolution blends innovation and rigorous testing to create robust models that thrive in the face of uncertainty.

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