The unstructured data such as visual information,natural language,and human behaviors opens up a wide array of opportunities in the field of artificial intelligence(Al).The memory-centric neuromorphic computing(MNC)ha...The unstructured data such as visual information,natural language,and human behaviors opens up a wide array of opportunities in the field of artificial intelligence(Al).The memory-centric neuromorphic computing(MNC)has been proposed for the efficient processing of unstructured data,bypassing the von Neumann bottleneck of current computing architecture.The development of MNC would provide massively parallel processing of unstructured data,realizing the cognitive Al in edge and wearable systems.In this review,recent advances in memory-centric neuromorphic devices are discussed in terms of emerging nonvolatile memories,volatile switches,synaptic plasticity,neuronal models,and memristive neural network.展开更多
基金supported by Samsung Electronics Co.,Ltd(No.10201214-08153-01)supported by Convergent Technology R&D Program for Human Augmentation through the National Research Foundation of Korea(NRF)funded by Ministry of Science and ICT(No.NRF-2020M3C1B8081519)supported by the National Research Foundation of Korea(NRF)grant funded by the Korean Government(MSIP)(No.NRF-2020M3F3A2A02082445).
文摘The unstructured data such as visual information,natural language,and human behaviors opens up a wide array of opportunities in the field of artificial intelligence(Al).The memory-centric neuromorphic computing(MNC)has been proposed for the efficient processing of unstructured data,bypassing the von Neumann bottleneck of current computing architecture.The development of MNC would provide massively parallel processing of unstructured data,realizing the cognitive Al in edge and wearable systems.In this review,recent advances in memory-centric neuromorphic devices are discussed in terms of emerging nonvolatile memories,volatile switches,synaptic plasticity,neuronal models,and memristive neural network.
