Jiayoon Ru1 — ISSCC 知识库

ISSCC 2024 Session 30 AI / ML

A 22nm 0.26nW/Synapse Spike-Driven Spiking Neural Network Processing Unit Using Time-Step-First Dataﬂow and Sparsity-Adaptive In-Memory Computing

Ying Liu*1, Yufei Ma*1, Ninghui Shang1, Tianhao Zhao2, Peiyu Chen1, Meng Wu1,

Science and Technology University, Beijing, China *Equally Credited Authors (ECA) 1 2 Recently, brain-inspired spiking neural networks (SNNs) have demonstrated tremendous improvement in energy efﬁciency (EE) and low powe

Jiayoon Ru1, Tianyu Jia1, Le Ye1, Zhixuan Wang3, Ru Huang1 Peking Univ

ISSCC 2023 Session 3 Other

A 0.954nW 32kHz Crystal Oscillator in 22nm CMOS with Gm-C-Based Current Injection Control

Yihan Zhang1, You You1, Wenjie Ren1, Xinhang Xu1, Linxiao Shen1,

oscillators (XOs) [1-5] are essential in wirelessly linked IoT nodes: for time-keeping purposes, they need to consume low power since they stay always-on and remain accurate to reduce synchronization guard time [6]. In r

Jiayoon Ru1, Ru Huang1, Le Ye1,2 Peking University, Beijing, China Adv