Spurious Suppression Effect by Transmit Bandpass Filters with HTS Dual-Mode Resonators for 5 GHz Band. - Kazunori Yamanaka; Kazuaki Kurihara; Akihiko Akasegawa; Masatoshi Ishii; Teru Nakanishi (IEICE Trans. Electron., 2009)

Reflective photoplethysmography sensor with ring-shaped photodiode. - Masahide Kano; Masatoshi Ishii; Kensuke Kanda; Takayuki Fujita; Kazusuke Maenaka; Kazuo Kasai; Kohei Higuchi (SMC, 2012)

1 Mb 0.41 µm2 2T-2R Cell Nonvolatile TCAM With Two-Bit Encoding and Clocked Self-Referenced Sensing. - Jing Li 073; Robert K. Montoye; Masatoshi Ishii; Leland Chang (IEEE J. Solid State Circuits, 2014)

NVM Weight Variation Impact on Analog Spiking Neural Network Chip. - Akiyo Nomura; Megumi Ito; Atsuya Okazaki; Masatoshi Ishii; SangBum Kim; Junka Okazawa; Kohji Hosokawa; Wilfried Haensch (ICONIP (7), 2018)

Performance Analysis of Spiking RBM with Measurement-Based Phase Change Memory Model. - Masatoshi Ishii; Megumi Ito; Wanki Kim; SangBum Kim; Akiyo Nomura; Atsuya Okazaki; Junka Okazawa; Kohji Hosokawa; Matthew BrightSky; Wilfried Haensch (ICONIP (5), 2019)

Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation. - Megumi Ito; Malte J. Rasch; Masatoshi Ishii; Atsuya Okazaki; SangBum Kim; Junka Okazawa; Akiyo Nomura; Kohji Hosokawa; Wilfried Haensch (ICONIP (3), 2019)

Ultra-low power on-chip learning of speech commands with phase-change memories. - Venkata Pavan Kumar Miriyala; Masatoshi Ishii (CoRR, 2020)

Analysis of Effect of Weight Variation on SNN Chip with PCM-Refresh Method. - Akiyo Nomura; Megumi Ito; Atsuya Okazaki; Masatoshi Ishii; SangBum Kim; Junka Okazawa; Kohji Hosokawa; Wilfried Haensch (Neural Process. Lett., 2021)

Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers. - Atsuya Okazaki; Pritish Narayanan; Stefano Ambrogio; Kohji Hosokawa; Hsinyu Tsai; Akiyo Nomura; Takeo Yasuda; Charles Mackin; Alexander M. Friz; Masatoshi Ishii; Yasuteru Kohda; Katie Spoon; et al. (ISCAS, 2022)

Pattern Training, Inference, and Regeneration Demonstration Using On-Chip Trainable Neuromorphic Chips for Spiking Restricted Boltzmann Machine. - Uicheol Shin; Masatoshi Ishii; Atsuya Okazaki; Megumi Ito; Malte J. Rasch; Wanki Kim; Akiyo Nomura; Wonseok Choi 012; Dooyong Koh; Kohji Hosokawa; Matthew BrightSky; Seiji Munetoh; et al. (Adv. Intell. Syst., 2022)

Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited). - Hsinyu Tsai; Pritish Narayanan; Shubham Jain; Stefano Ambrogio; Kohji Hosokawa; Masatoshi Ishii; Charles Mackin; Ching-Tzu Chen; Atsuya Okazaki; Akiyo Nomura; Irem Boybat; Ramachandran Muralidhar; et al. (ISCAS, 2023)

Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited). - Geoffrey W. Burr; Pritish Narayanan; Stefano Ambrogio; Atsuya Okazaki; Hsinyu Tsai; Kohji Hosokawa; Charles Mackin; Akiyo Nomura; Takeo Yasuda; J. Demarest; Kevin Brew; Victor Chan; et al. (VLSI Technology and Circuits, 2023)

An analog-AI chip for energy-efficient speech recognition and transcription. - Stefano Ambrogio; Pritish Narayanan; Atsuya Okazaki; Andrea Fasoli; Charles Mackin; Kohji Hosokawa; Akiyo Nomura; Takeo Yasuda; An Chen 002; Alexander M. Friz; Masatoshi Ishii; Jose Luquin; et al. (Nat., 2023)

A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh. - Shubham Jain; Hsinyu Tsai; Ching-Tzu Chen; Ramachandran Muralidhar; Irem Boybat; Martin M. Frank; Stanislaw Wozniak; Milos Stanisavljevic; Praneet Adusumilli; Pritish Narayanan; Kohji Hosokawa; Masatoshi Ishii; et al. (IEEE Trans. Very Large Scale Integr. Syst., 2023)

Synergetic quantum error mitigation by randomized compiling and zero-noise extrapolation for the variational quantum eigensolver. - Tomochika Kurita; Hammam Qassim; Masatoshi Ishii; Hirotaka Oshima; Shintaro Sato; Joseph Emerson (Quantum, 2023)