Analog memory-based techniques for accelerating the training of fully-connected deep neural networks
- Sidney Tsai
- Stefano Ambrogio
- et al.
- 2019
- SPIE Advanced Lithography 2019
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17 results for Charles Mackin
Emerging Nonvolatile Memories for Analog Neuromorphic Computing
- An Chen
- Stefano Ambrogio
- et al.
- 2024
- ECS Spring Meeting 2024
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks
- Sidney Tsai
- Pritish Narayanan
- et al.
- 2023
- ISCAS 2023
Analog-AI: Hardware Acceleration for Deep Neural Network Inference
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- NeuMatDeCaS 2023
Architecture and Programming of Analog In-Memory-Computing Accelerators for Deep Neural Networks
- Sidney Tsai
- Pritish Narayanan
- et al.
- 2024
- IPDPS 2024
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- 2023
- APL Mach. Learn.
Weight Programming in DNN Analog Hardware Accelerators in the Presence of NVM Variability
- Charles Mackin
- Sidney Tsai
- et al.
- 2019
- Advanced Electronic Materials