Accelerating Deep Neural Networks with Analog Memory Devices. - Stefano Ambrogio; Pritish Narayanan; Hsinyu Tsai; Charles Mackin; Katherine Spoon; An Chen 002; Andrea Fasoli; Alexander M. Friz; Geoffrey W. Burr (AICAS, 2020)

Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges. - Charles Mackin; Pritish Narayanan; Stefano Ambrogio; Hsinyu Tsai; Katie Spoon; Andrea Fasoli; An Chen 002; Alexander M. Friz; Robert M. Shelby; Geoffrey W. Burr (IRPS, 2020)

Optimization of Analog Accelerators for Deep Neural Networks Inference. - Andrea Fasoli; Stefano Ambrogio; Pritish Narayanan; Hsinyu Tsai; Charles Mackin; Katherine Spoon; Alexander M. Friz; An Chen 002; Geoffrey W. Burr (ISCAS, 2020)

Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation. - Robert L. Bruce; Syed Ghazi Sarwat; Irem Boybat; Cheng-Wei Cheng; Wanki Kim; S. R. Nandakumar; Charles Mackin; Timothy Philip; Zuoguang Liu; Kevin Brew; Nanbo Gong; Injo Ok; et al. (IRPS, 2021)

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)

Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices. - Katie Spoon; Hsinyu Tsai; An Chen 002; Malte J. Rasch; Stefano Ambrogio; Charles Mackin; Andrea Fasoli; Alexander M. Friz; Pritish Narayanan; Milos Stanisavljevic; Geoffrey W. Burr (Frontiers Comput. Neurosci., 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)