神经形态工程学
光伏系统
计算机科学
瓶颈
冯·诺依曼建筑
高效能源利用
数码产品
实现(概率)
光子学
计算机体系结构
人工神经网络
人工智能
纳米技术
材料科学
电气工程
工程类
嵌入式系统
光电子学
操作系统
统计
数学
标识
DOI:10.1002/admi.201900471
摘要
Abstract New device concepts and new computing principles are needed to balance our ever‐growing appetite for data and information with the realization of the goals of increased energy efficiency, reduction in CO 2 emissions, and the circular economy. Neuromorphic or synaptic electronics is an emerging field of research aiming to overcome the current computer's Von‐Neumann bottleneck by building artificial neuronal systems to mimic the extremely energy efficient biological synapses. The introduction of photovoltaic and/or photonic aspects into these neuromorphic architectures will produce self‐powered adaptive electronics but may also open new possibilities in artificial neuroscience, artificial neural communications, sensing, and machine learning which would enable, in turn, a new era for computational systems owing to the possibility of attaining high bandwidths with much reduced power consumption. This perspective is focused on recent progress in the implementation of functional oxide thin‐films into photovoltaic and neuromorphic applications toward the envisioned goal of self‐powered photovoltaic neuromorphic systems or a solar brain.
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