Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited). - Kohji Hosokawa; Pritish Narayanan; Stefano Ambrogio; Hsinyu Tsai; Charles Mackin; Andrea Fasoli; Alexander M. Friz; An Chen 002; Jose Luquin; Katherine Spoon; Geoffrey W. Burr; Scott C. Lewis (ISCAS, 2021)

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)

Analog-AI Hardware Accelerators for Low-Latency Transformer-Based Language Models (Invited). - Geoffrey W. Burr; H. Tsai; Irem Boybat; William Andrew Simon; Julian Büchel; Athanasios Vasilopoulos; Pritish Narayanan; Andrea Fasoli; Kohji Hosokawa; Manuel Le Gallo; M. Ishii; Yasuteru Kohda; et al. (CICC, 2025)

Analog AI Accelerators for Transformer-based Language Models: Hardware, Workload, and Power Performance. - H. Tsai; Hadjer Benmeziane; Irem Boybat; Julian Büchel; Pritish Narayanan; Manuel Le Gallo; S. Jain; Athanasios Vasilopoulos; W. Simon; Kohji Hosokawa; M. Ishii; Yasuteru Kohda; et al. (IMW, 2025)

Rapid yet accurate Tile-circuit and device modeling for Analog In-Memory Computing. - Jose Luquin; Charles Mackin; Stefano Ambrogio; An Chen 002; F. Baldi; G. Miralles; Malte J. Rasch; Julian Büchel; M. Lalwani; W. Ponghiran; Paul Solomon; Hsinyu Tsai; et al. (CoRR, 2025)