Over the past few decades, electronics engineers have been trying to develop new neuromorphic hardware, systems that mirror the organization of neurons in the human brain. These systems could run artificial intelligence (AI) models, particularly artificial neural networks (ANNs) more reliably and efficiently than existing devices.
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