2 citations · 3 across the 4 of their papers we have counts for
4 papers
A neuromorphic vision system for open-world visual intelligence
Jiankai Yin, Zheng Miao, Lianghao Guo +13
Time-efficient and robust visual intelligence remains a critical challenge in unstructured open-world environments, yet current approaches often rely on computationally intensive n…
First Demonstration of Second-order Training of Deep Neural Networks with In-memory Analog Matrix Computing
Saitao Zhang, Yubiao Luo, Shiqing Wang +5
Second-order optimization methods, which leverage curvature information, offer faster and more stable convergence than first-order methods such as stochastic gradient descent (SGD)…
Modeling Closed-loop Analog Matrix Computing Circuits with Interconnect Resistance
Mu Zhou, Junbin Long, Yubiao Luo +1
Analog matrix computing (AMC) circuits based on resistive random-access memory (RRAM) have shown strong potential for accelerating matrix operations. However, as matrix size grows,…
BlockAMC: Scalable In-Memory Analog Matrix Computing for Solving Linear Systems
Lunshuai Pan, Pushen Zuo, Yubiao Luo +2
Recently, in-memory analog matrix computing (AMC) with nonvolatile resistive memory has been developed for solving matrix problems in one step, e.g., matrix inversion of solving li…