Electroluminescent perovskite QD-based neural networks for energy-efficient and accelerate multitasking learning
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The ability of multitasking (MT) learning in neuro-inspired artificial intelligence (AI) systems offers promise for energy-efficient deployment in robotics, health care, and autonomous vehicles. Here, an MT learning framework is established using a dual-output... ...
