A. Chen

Reducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks

S. Ambrogio, A. Kumar, A. Chen, 2019, 2019 IEEE International Electron Devices Meeting (IEDM).

Inference of Long-Short Term Memory networks at software-equivalent accuracy using 2.5M analog Phase Change Memory devices

R. M. Shelby, P. Narayanan, H. Tsai, 2019, 2019 Symposium on VLSI Technology.

An analog-AI chip for energy-efficient speech recognition and transcription

P. Narayanan, I. Ahsan, G. Burr, 2023, Nature.

Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers

M. Rasch, P. Narayanan, G. Burr, 2022, International Symposium on Circuits and Systems.

Optimised weight programming for analogue memory-based deep neural networks

M. Rasch, P. Narayanan, G. Burr, 2022, Nature Communications.