Alexander M. Friz

According to our database1, Alexander M. Friz authored at least 9 papers between 2020 and 2023.

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Bibliography

2023
An analog-AI chip for energy-efficient speech recognition and transcription.
Nat., 2023

Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited).
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited).
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022
Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices.
Frontiers Comput. Neurosci., 2021

Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited).
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020
Optimization of Analog Accelerators for Deep Neural Networks Inference.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges.
Proceedings of the 2020 IEEE International Reliability Physics Symposium, 2020

Accelerating Deep Neural Networks with Analog Memory Devices.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020


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