Noise-Resilient DNN: Tolerating Noise in PCM-Based AI Accelerators via Noise-Aware Training
- Sanjay Kariyappa
- Hsinyu Tsai
- et al.
- 2021
- IEEE T-ED
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72 results for Sidney Tsai
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices
- Katherine Spoon
- Hsinyu Tsai
- et al.
- 2021
- Frontiers in Computational Neuroscience
AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed
- H. Y. Chang
- Geoffrey W. Burr
- et al.
- 2019
- IBM J. Res. Dev
Analog-to-Digital Conversion with Reconfigurable Function Mapping for Neural Networks Activation Function Acceleration
- Massimo Giordano
- Giorgio Cristiano
- et al.
- 2019
- IEEE JESTCS
Weight Programming in DNN Analog Hardware Accelerators in the Presence of NVM Variability
- Charles Mackin
- Sidney Tsai
- et al.
- 2019
- Advanced Electronic Materials
Training fully connected networks with resistive memories: Impact of device failures
- Louis P. Romero
- Stefano Ambrogio
- et al.
- 2019
- Faraday Discussions
Recent progress in analog memory-based accelerators for deep learning
- Hsinyu Tsai
- Stefano Ambrogio
- et al.
- 2018
- Journal of Physics D: Applied Physics
Nitride etching with hydrofluorocarbons. II. Evaluation of C4H9F for tight pitch Si3N4 patterning applications
- Nathan Marchack
- Hiroyuki Miyazoe
- et al.
- 2018
- JVSTB
Highly selective dry etching of polystyrene-poly(methyl methacrylate) block copolymer by gas pulsing carbon monoxide-based plasmas
- Hiroyuki Miyazoe
- Ashish Jagtiani
- et al.
- 2017
- Journal of Physics D: Applied Physics
Design technology co-optimization assessment for directed self-Assembly-based lithography: Design for directed self-Assembly or directed self-Assembly for design
- Kafai Lai
- Chi Chun Liu
- et al.
- 2017
- J. Micro/Nanolithogr. MEMS MOEMS