Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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Year

51 results for Sidney Tsai

Optimised weight programming for analogue memory-based deep neural networks
- - Charles Mackin
  - Malte J. Rasch
  - et al.
- 2022
- Nature Communications
Directed self-assembly of block copolymers for 7 nanometre FinFET technology and beyond
- - Charlie Liu
  - Elliott Franke
  - et al.
- 2018
- Nature Electronics
Equivalent-accuracy accelerated neural-network training using analogue memory
- - Stefano Ambrogio
  - Pritish Narayanan
  - et al.
- 2018
- Nature
Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers
- - Atsuya Okazaki
  - Pritish Narayanan
  - et al.
- 2022
- ISCAS 2022
Circuit techniques for efficient acceleration of deep neural network inference with Analog-AI (Invited)
- - Kohji Hosokawa
  - Pritish Narayanan
  - et al.
- 2021
- ISCAS 2021
Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation
- - R. L. Bruce
  - Syed Ghazi Sarwat
  - et al.
- 2021
- IRPS 2021
Optimization of Analog Accelerators for Deep Neural Networks Inference
- - Andrea Fasoli
  - Stefano Ambrogio
  - et al.
- 2020
- ISCAS 2020
Inference of Deep Neural Networks with Analog Memory Devices
- - Stefano Ambrogio
  - Pritish Narayanan
  - et al.
- 2020
- VLSI-TSA 2020
Accelerating Deep Neural Networks with Analog Memory Devices
- - Stefano Ambrogio
  - Pritish Narayanan
  - et al.
- 2020
- AICAS 2020
Accelerating Deep Neural Networks with Analog Memory Devices
- - Katherine Spoon
  - Stefano Ambrogio
  - et al.
- 2020
- IMW 2020