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As edge AI systems scale, the limitations of traditional von Neumann computing—separate memory and processing, high data movement, and power inefficiency—are becoming increasingly apparent. Neuromorphic computing offers a fundamentally different approach, inspired by the structure and operation of the human brain, enabling event-driven, ultra-low-power, real-time intelligence at the edge. In this inaugural EDGE AI Neuromorphic Livestream, we bring together industry leaders, researchers, and system builders to explore how neuromorphic AI is moving from research into real-world deployment. The session will examine architectures, sensing and control applications, training methods, and benchmarking practices across both small-scale and large-scale systems. Designed for technologists, researchers, and decision-makers, this livestream will provide practical insights into where neuromorphic AI delivers real value today—and where it is headed next. Tune in for these talks from: Innatera University of Southern California Brainchip Harvard University Spinncloud Delft University