Energy-Efficient Hardware Implementation of Spiking-Restricted Boltzmann Machines Using Pseudo-Synaptic Sampling
- Hyunwoo Kim
- Suyeon Jang
- et al.
- 2024
- Advanced Intelligent Systems
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21 results for Masatoshi Ishii
Solving Max-Cut Problem Using Spiking Boltzmann Machine Based on Neuromorphic Hardware with Phase Change Memory
- Yu Gyeong Kang
- Masatoshi Ishii
- et al.
- 2024
- Advanced Science
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- IEDM 2023
An analog-AI chip for energy-efficient speech recognition and transcription
- S. Ambrogio
- Pritish Narayanan
- et al.
- 2023
- Nature
Phase Change Memory-based Hardware Accelerators for Deep Neural Networks
- Geoffrey Burr
- Pritish Narayanan
- et al.
- 2023
- VLSI Technology 2023
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks
- Sidney Tsai
- Pritish Narayanan
- et al.
- 2023
- ISCAS 2023
Analog In-Memory Computing for Deep Neural Network Acceleration
- Andrea Fasoli
- Geoffrey Burr
- et al.
- 2023
- MRS Spring Meeting 2023
Analog-AI: Hardware Acceleration for Deep Neural Network Inference
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- NeuMatDeCaS 2023
A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh
- Shubham Jain
- Hsinyu Tsai
- et al.
- 2023
- IEEE Transactions on VLSI Systems
Impact of PCM noise on the Spiking Restricted Boltzmann Machine via On-Chip Trainable PCM synapses
- Uicheol Shin
- Masatoshi Ishii
- et al.
- 2022
- MRS Fall Meeting 2022