As Moore’s law starts to reach its limits, neuromorphic computing is becoming a catalyst for future hardware developments. Neuromorphic computing mimics the human brain using spiking neural networks (SNNs) and memristors. It offers real-time, low power computing that enables users to realize the dream of self-learning, energy efficient devices. Emerging technologies like artificial intelligence (AI), Internet of Things (IoT), and edge devices demand a new hardware architecture that can scale and perform accelerated computation with small power consumption.

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