宽带传感网络具有局部存储的响应能力,用于神经形态机器视觉
Guo-Xin Zhang1, Zhi-Cheng Zhang2, Xu-Dong Chen1,2
1MOE International Joint Laboratory of Materials Microstructure, Institute for New Energy Materials and Low Carbon Technologies, School of Material Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
Science advances
|September 15, 2023
概括
研究人员开发了新的视网形视觉传感器,具有非挥发性可调节响应,用于传感器内计算. 这一突破通过将计算直接集成到传感器中,使高速,低功耗的神经形态机器视觉成为可能.
科学领域:
- 神经形态工程的神经形态工程
- 材料科学 材料科学 材料科学
- 计算机视觉 计算机视觉
背景情况:
- 视网形视觉传感器对传感器内计算具有前景,但受到波动的响应性影响,需要持续的偏差.
- 现有的传感器在保持稳定的性能方面存在局限性,这是由于它们的响应性.
研究的目的:
- 开发具有非挥发性和可调节响应性的视网形视觉传感器.
- 构建一个可重新配置的传感网络,用于传感器内卷积处理.
- 展示一个完整的神经形象视觉系统,集成传感器和内存计算.
主要方法:
- 用离子诱导的局部场策略来实现非挥发性可调调响应度.
- 为光谱处理 (400-1800 nm) 构建了一个宽带传感网络.
- 该设备用于传感器内和内存计算任务,包括监督和无监督学习.
主要成果:
- 在积极和消极两种模式下实现非挥发性调整响应.
- 成功实现了传感器内卷积处理和内存计算.
- 展示了一个完整的神经形象视觉系统,能够执行学习任务.
结论:
- 拟议的离子诱导局部场战略使具有非挥发性特征的强大的视网形视觉传感器成为可能.
- 这项工作为高速,低功耗的神经形态机器视觉系统铺平了道路.
- 开发的技术适用于时间关键和数据密集型应用.
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