对于内在可拉伸的神经形态视觉适应晶体管的不敏感应变粘弹性岩膜
Chengyu Wang1,2, Yangshuang Bian1,2, Kai Liu1,2
1Beijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry Chinese Academy of Sciences, 100190, Beijing, China.
Nature communications
|April 10, 2024
概括
研究人员为神经形态视觉系统开发了一种新的可拉伸矿膜. 这种内在可拉伸的设备为先进的人工智能应用提供了快速的光适应和超低能耗.
科学领域:
- 光电学是指光电子产品.
- 材料科学 材料科学 材料科学
- 神经科学是一个神经科学.
背景情况:
- 可伸缩的神经形态设备对于智能视觉至关重要,但在多功能性和灵活性方面面临限制.
- 现有的设备要么是具有有限功能的伸展性,要么是具有基本功能的刚性.
研究的目的:
- 通过使用一种新的矿膜,开发内在可拉伸的神经形态视觉适应性晶体管.
- 为实现智能视觉应用实现高空间分辨率,多模式交互和快速适应速度.
主要方法:
- 制造一个可调节缺陷的粘弹性矿膜.
- 组装成对应变不敏感的半连续微球形态.
- 集成到可伸缩的神经形态视觉适应晶体管中.
主要成果:
- 该设备展示了三色光适应,具有快速的适应速度 (<150秒),超过了人类眼睛的能力.
- 作为人工突触运作,能量消耗极低 (15 aJ),并具有高配对脉冲促进指数 (270%).
- 即使在100%的机械应力下,也可以实现不敏感应变的自适应光学成像.
结论:
- 开发的矿膜能够实现本质上具有可拉伸性和高度功能的神经形态视觉系统.
- 这项技术加速了下一代智能视觉应用的实施,提高了性能和灵活性.
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