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Jeonghoon Son

Showing results (1-10 of 5) with videos related to

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Materials Horizons|January 23, 2026
Correction: Highly-efficient and scalable TrioN (3N0C) synaptic cell for analog process-in-memoryJunyoung Choi, Byoungwoo Lee, Jinho Byun, et al.
Materials Horizons|June 25, 2025
Highly-efficient and scalable TrioN (3N0C) synaptic cell for analog process-in-memoryJunyoung Choi, Byoungwoo Lee, Jinho Byun, et al.
IEEE Transactions on Biomedical Circuits and Systems|September 23, 2024
A Multi-Bit ECRAM-Based Analog Neuromorphic System With High-Precision Current Readout Achieving 97.3% Inference AccuracyMinseong Um, Minil Kang, Kyeongho Eom, et al.
Small (Weinheim an Der Bergstrasse, Germany)|November 24, 2025
Non-Perturbative Oxygen Vacancy Mapping via Independently-Contacted, Reciprocally-Switching Double-Layer ECRAM for In-Memory ComputingSeungmin Han, Hyunjeong Kwak, Jungho Lee, et al.
Science Advances|June 14, 2024
Retention-aware zero-shifting technique for Tiki-Taka algorithm-based analog deep learning acceleratorKyungmi Noh, Hyunjeong Kwak, Jeonghoon Son, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Materials Horizons|January 23, 2026
Correction: Highly-efficient and scalable TrioN (3N0C) synaptic cell for analog process-in-memoryJunyoung Choi, Byoungwoo Lee, Jinho Byun, et al.
Materials Horizons|June 25, 2025
Highly-efficient and scalable TrioN (3N0C) synaptic cell for analog process-in-memoryJunyoung Choi, Byoungwoo Lee, Jinho Byun, et al.
IEEE Transactions on Biomedical Circuits and Systems|September 23, 2024
A Multi-Bit ECRAM-Based Analog Neuromorphic System With High-Precision Current Readout Achieving 97.3% Inference AccuracyMinseong Um, Minil Kang, Kyeongho Eom, et al.
Small (Weinheim an Der Bergstrasse, Germany)|November 24, 2025
Non-Perturbative Oxygen Vacancy Mapping via Independently-Contacted, Reciprocally-Switching Double-Layer ECRAM for In-Memory ComputingSeungmin Han, Hyunjeong Kwak, Jungho Lee, et al.
Science Advances|June 14, 2024
Retention-aware zero-shifting technique for Tiki-Taka algorithm-based analog deep learning acceleratorKyungmi Noh, Hyunjeong Kwak, Jeonghoon Son, et al.
Pageof 1