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For more than 70 years, modern computing has been built on one remarkably successful foundation: the von Neumann architecture . This model—where a central processor retrieves and executes data from a separate memory unit—has powered everything from space missions to smartphones. But as artificial intelligence evolves toward human-level perception and reasoning, this decades-old framework is revealing its limits. Today, AI demands more than computational brute force. To build systems that think, learn, and adapt like living organisms , the next leap must be guided not by mathematics alone, but by biology. Welcome to neuromorphic computing , the emerging paradigm poised to redefine how machines learn, process information, and interact with the world. What Is Neuromorphic Computing? Neuromorphic computing is the design of computer hardware that mimics the biological structure and electrical behavior of the human brain . Instead of relying on sequential processing like traditional ...

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