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Showing 1–4 of 4 results
Advanced filters: Author: Jangsaeng Kim Clear advanced filters

  • AI image generation is limited by conflicting needs for stochastic sampling and deterministic decoding. Koo et al. present a ferroelectric tunnel junction array using controllable random telegraph noise and nonvolatile multilevel conductance to unify both functions, enabling high-quality digit and facial image synthesis.

    • Ryun-Han Koo
    • Jonghyun Ko
    • Jong-Ho Lee
    ResearchOpen Access
    Nature Communications
    P: 1-14

  • True random number generators are highly demanded for secured data processing, yet it remains challenging to control and reproduce the randomness. Im et al. generate analog random values using a positive feedback transistor and implement it to encrypt and decrypt images, and store encrypted information.

    • Jiseong Im
    • Jonghyun Ko
    • Jong-Ho Lee
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-9

  • Bayesian neural networks is a machine learning architecture designed to capture the uncertainties of the predictions better. Here, the authors developed a 3D ferroelectric NAND-based Bayesian neural network system for enhanced efficiency and robustness.

    • Minsuk Song
    • Ryun-Han Koo
    • Daewoong Kwon
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-14

  • Hardware implementation of analog reservoir computing is a challenge. The analog reservoir system in this work contains mixed phase boundary-based transistors with nonlinear short-term memory as physical reservoirs and artificial neuron, and nonvolatile ferroelectric transistors as readout networks.

    • Jangsaeng Kim
    • Eun Chan Park
    • Daewoong Kwon
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-14