一个灵活的数字计算内存芯片,用于边缘智能
Anzhi Yan1, Jianlan Yan1, Penghui Shen1
1School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China.
Nature
|January 28, 2026
概括
研究人员开发了FLEXI,这是一种灵活的AI集成电路,用于高效的神经网络任务. 这一突破使先进的机器人,可穿戴设备和医疗保健设备具有低功耗和高精度.
科学领域:
- 灵活的电子设备 灵活的电子设备
- 人工智能的人工智能是人工智能.
- 集成电路 集成电路
背景情况:
- 灵活的电子和人工智能可以彻底改变机器人,可穿戴设备和医疗保健.
- 开发灵活的硬件以实现高效的神经网络推断是具有挑战性的.
研究的目的:
- 为了介绍FLEXI,一个灵活的数字AI集成电路.
- 为解决AI任务高效灵活计算的挑战.
主要方法:
- 过程-电路-算法协同优化.
- 数字动态重配置的内存计算架构.
- 一次性在芯片上的神经网络部署.
主要成果:
- FLEXI在12.5 MHz频率运行,功耗为2.52 mW.
- 实现了美元以下的成本,70-92%的收益率,10^10无错误的乘法和>40,000个曲周期.
- 在心律失常检测中显示了99.2%的准确性,在活动监测中显示了97.4%.
结论:
- 对于灵活的AI硬件,FLEXI提供了一个强大的,低成本的解决方案.
- 为医疗保健和可穿戴应用程序提供高效的设备内人工智能.
- 突出了协同优化和可重新配置架构的潜力.
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