具有集成感知和内存计算功能的多模组2D铁电晶体管,用于水库计算
Jiachao Zhou1,2, Anzhe Chen1,2, Yishu Zhang1,2
1College of Integrated Circuits, Zhejiang University, Hangzhou 310027, China.
Nano letters
|November 12, 2024
概括
研究人员使用二维化开发了一种新型的人工突触,使其能够实现集成的感知和内存计算功能. 这一突破为大脑启发的计算应用提供了超低能耗和高吞吐量.
科学领域:
- 材料科学 材料科学 材料科学
- 神经形态工程的神经形态工程
- 人工智能 硬件 硬件
背景情况:
- 神经形态硬件旨在通过在组件层面集成功能来实现节能计算.
- 在将多功能设备与神经网络要求相匹配方面存在挑战.
研究的目的:
- 展示一个带有集成感知和内存计算 (PCIM) 功能的人工突触.
- 为了利用这个设备作为先进的水库计算系统的构建块.
主要方法:
- 在单晶体管配置中使用2Dα相化制造人工突触.
- 开发一个数组架构,用于并发的图像传感和内存操作.
- 实现多模式深水库计算,具有可调节的非线性转换和多传感器融合.
主要成果:
- 人工突触展示了集成的PCIM功能,适合储库计算.
- 阵列架构能够同时进行图像传感和记忆.
- 与GPU相比,系统在车道维护-辅助任务中实现了约10^4倍更低的能耗和更高的数据吞吐量.
结论:
- 单晶体管PCIM功能证明了超级可扩展,资源高效的硬件的可行性,用于大脑启发的计算.
- 开发出的人工突触是下一代神经形态系统的一个有前途的核心设备.
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