Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip
- An Chen
- Stefano Ambrogio
- et al.
- 2025
- Nature Communications
Paper
Publications
28 results for An Chen
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
- Malte J. Rasch
- Charles Mackin
- et al.
- 2023
- Nature Communications
PaperAn analog-AI chip for energy-efficient speech recognition and transcription
- S. Ambrogio
- Pritish Narayanan
- et al.
- 2023
- Nature
PaperOptimization of Projected Phase Change Memory for Analog In-Memory Computing Inference
- Ning Li
- Charles Mackin
- et al.
- 2023
- Advanced Materials
PaperOptimised weight programming for analogue memory-based deep neural networks
- Charles Mackin
- Malte J. Rasch
- et al.
- 2022
- Nature Communications
PaperBeyond-CMOS roadmap - From Boolean logic to neuro-inspired computing
- An Chen
- 2022
- Japanese Journal of Applied Physics
PaperAnalog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers
- Atsuya Okazaki
- Pritish Narayanan
- et al.
- 2022
- ISCAS 2022
Conference paperNoise-Resilient DNN: Tolerating Noise in PCM-Based AI Accelerators via Noise-Aware Training
- Sanjay Kariyappa
- Hsinyu Tsai
- et al.
- 2021
- IEEE T-ED
PaperToward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices
- Katherine Spoon
- Hsinyu Tsai
- et al.
- 2021
- Frontiers in Computational Neuroscience
PaperCircuit techniques for efficient acceleration of deep neural network inference with Analog-AI (Invited)
- Kohji Hosokawa
- Pritish Narayanan
- et al.
- 2021
- ISCAS 2021
Conference paper