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Geoffrey W Burr

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Nature Communications|August 30, 2023

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based acceleratorsMalte J Rasch, Charles Mackin, Manuel Le Gallo, et al.

Nano Letters|April 28, 2018

Enhancing Magnetic Light Emission with All-Dielectric Optical NanoantennasMaria Sanz-Paz, Cyrine Ernandes, Juan Uriel Esparza, et al.

Nature|June 8, 2018

Equivalent-accuracy accelerated neural-network training using analogue memoryStefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, et al.

Nature Communications|June 30, 2022

Optimised weight programming for analogue memory-based deep neural networksCharles Mackin, Malte J Rasch, An Chen, et al.

Nature Communications|September 30, 2025

Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chipAn Chen, Stefano Ambrogio, Pritish Narayanan, et al.

Pageof 2

Search research articles

Showing results (11-20 of 15) with videos related to

Sort By:

Pageof 2

You have reached the last page of results.This site can display upto 15 results.

Nature Communications|August 30, 2023

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based acceleratorsMalte J Rasch, Charles Mackin, Manuel Le Gallo, et al.

Nano Letters|April 28, 2018

Enhancing Magnetic Light Emission with All-Dielectric Optical NanoantennasMaria Sanz-Paz, Cyrine Ernandes, Juan Uriel Esparza, et al.

Nature|June 8, 2018

Equivalent-accuracy accelerated neural-network training using analogue memoryStefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, et al.

Nature Communications|June 30, 2022

Optimised weight programming for analogue memory-based deep neural networksCharles Mackin, Malte J Rasch, An Chen, et al.

Nature Communications|September 30, 2025

Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chipAn Chen, Stefano Ambrogio, Pritish Narayanan, et al.

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