Equivalent-accuracy accelerated neural-network training using analogue memoryStefano Ambrogio, Geoffrey W. Burr, R. M. Shelby et al.|Nature|2018Cited by 1.1k
Recent progress in analog memory-based accelerators for deep learningHsinyu Tsai, Geoffrey W. Burr, Stefano Ambrogio et al.|Journal of Physics D Applied Physics|2018Cited by 220
An analog-AI chip for energy-efficient speech recognition and transcriptionStefano Ambrogio, Geoffrey W. Burr, Kohji Hosokawa et al.|Nature|2023Cited by 211
Reducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural NetworksStefano Ambrogio, Geoffrey W. Burr, Charles Mackin et al.|Unknown|2019Cited by 73
Confined PCM-based Analog Synaptic Devices offering Low Resistance-drift and 1000 Programmable States for Deep LearningW. Kim, M. BrightSky, Praneet Adusumilli et al.|Unknown|2019Cited by 70