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To truly grasp the nuances of AI, interdisciplinary collaboration is essential. A robust understanding of intelligence necessitates merging insights from physics, mathematics, neuroscience, psychology, computer science, and more. By forging this multidisciplinary approach, researchers can simultaneously demystify biological intelligence and innovate AI development, addressing the significant gaps created by an engineering focus that has surged beyond our understanding.
Closing the Gaps in AI Development
The exploration of artificial intelligence development reveals five critical areas needing improvement: