Alexander Friz

IBM Research - Almaden — United States

Engineering · Physical Sciences

12h-index1.1kcitations47works0.62yr avg
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Research Topics

Advanced Memory and Neural Computing(22), Ferroelectric and Negative Capacitance Devices(16), Advancements in Photolithography Techniques(11), Semiconductor materials and devices(7), Neural Networks and Reservoir Computing(6)

Publications47 total

Row-by-row convolutional neural networks for Analog-AI
2025Open Access
Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip
Nature Communications·2025· 1 citedOpen Access
Analog AI Accelerators for Transformer-based Language Models: Hardware, Workload, and Power Performance
2025
Analog-AI Hardware Accelerators for Low-Latency Transformer-Based Language Models (Invited)
2025· 1 cited
(Invited) Emerging Nonvolatile Memories for Analog Neuromorphic Computing
ECS Meeting Abstracts·2024· 1 cited
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
2023· 7 cited
An analog-AI chip for energy-efficient speech recognition and transcription
Nature·2023· 185 citedOpen Access
Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited)
2023· 2 cited
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)
2023· 1 cited
Analog-AI: Hardware Acceleration for Deep Neural Network Inference
2023
Optimised weight programming for analogue memory-based deep neural networks
Nature Communications·2022· 46 citedOpen Access
Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers
2022 IEEE International Symposium on Circuits and Systems (ISCAS)·2022· 6 cited
Accelerating Deep Neural Networks with Phase-Change Memory Devices
2022
Optimized Weight Programming for Analogue Memory-based Deep Neural Networks
Research Square (Research Square)·2021· 2 citedOpen Access
Fully On-Chip MAC at 14 nm Enabled by Accurate Row-Wise Programming of PCM-Based Weights and Parallel Vector-Transport in Duration-Format
IEEE Transactions on Electron Devices·2021· 9 citedOpen Access
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices
Frontiers in Computational Neuroscience·2021· 24 citedOpen Access
Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited)
2021· 1 cited
Optimization of Analog Accelerators for Deep Neural Networks Inference
2020· 1 cited
Inference of Deep Neural Networks with Analog Memory Devices
2020· 3 cited
A three-dimensional micro-electrode array for <i>in-vitro</i> neuronal interfacing
Journal of Neural Engineering·2020· 33 cited
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Frequent Co-authors

Geoffrey W. Burr(25), Hsinyu Tsai(24), Pritish Narayanan(23), Charles Mackin(23), Stefano Ambrogio(21), Andrea Fasoli(20), Kohji Hosokawa(13), Jose Luquin(13), Atsuya Okazaki(12), Masatoshi Ishii(10), Yasuteru Kohda(9), Vijay Narayanan(8), Noel Arellano(8), Akiyo Nomura(7), Takeo Yasuda(7), Malte J. Rasch(7), An Chen(6), Katherine Spoon(6), A. Chen(5), Rudy J. Wojtecki(5)