Atsuya Okazaki

Publications

• Max-Cut Solving with Spiking Boltzmann Machine on Phase-Change Memory-Based Neuromorphic Hardware

  • • Yu Gyeong Kang
    • Masatoshi Ishii
    • et al.
  • 2025
  • MRS Fall Meeting 2025

  Talk

• Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip

  • • An Chen
    • Stefano Ambrogio
    • et al.
  • 2025
  • Nature Communications

  Paper

• Analog AI Accelerators for Transformer-based Language Models: Hardware, Workload, and Power Performance

  • • H. Tsai
    • H. Benmeziane
    • et al.
  • 2025
  • IMW 2025

  Conference paper

• Analog-AI Hardware Accelerators for Low-Latency Transformer-Based Language Models (Invited)

  • • G.W. Burr
    • H. Tsai
    • et al.
  • 2025
  • CICC 2025

  Conference paper

• Analog-AI Hardware Accelerators for low-latency Transformer-based Language Models (Invited)

  • • Geoffrey Burr
    • Sidney Tsai
    • et al.
  • 2025
  • CICC 2025

  Invited talk

• Energy-Efficient Hardware Implementation of Spiking-Restricted Boltzmann Machines Using Pseudo-Synaptic Sampling

  • • Hyunwoo Kim
    • Suyeon Jang
    • et al.
  • 2024
  • Advanced Intelligent Systems

  Paper

• 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

  Paper

• Emerging Nonvolatile Memories for Analog Neuromorphic Computing

  • • An Chen
    • Stefano Ambrogio
    • et al.
  • 2024
  • ECS Spring Meeting 2024

  Invited talk

• Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)

  • • Geoffrey Burr
    • Sidney Tsai
    • et al.
  • 2023
  • IEDM 2023

  Invited talk

• An analog-AI chip for energy-efficient speech recognition and transcription

  • • S. Ambrogio
    • Pritish Narayanan
    • et al.
  • 2023
  • Nature

  Paper