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BI 202 Eli Sennesh: Divide-and-Conquer to Predict

Brain Inspired

CHAPTER

Bridging Biology and AI

This chapter explores the significance of biological plausibility in models designed to simulate brain function, detailing the transition from complex waiting rules to simpler computational methods. The discussion addresses the optimization challenges in AI, emphasizing the need for effective algorithms while balancing mathematical rigor with biological insights. It critically examines the evolving definitions of Artificial General Intelligence (AGI), urging a deeper understanding of cognition over conventional performance metrics.

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