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Neuromorphic computing represents a paradigm shift in computer architecture, inspired by the human brain. Presented by Prisha Shah and Anvesha Verma, this innovative approach addresses the limitations of traditional Von Neumann architecture, which suffers from memory bottlenecks due to the separation of CPU and memory. Neuromorphic systems offer advantages such as ultra-low power consumption, low latency, and efficient local adaptation, making them suitable for various applications. A...