1 citations · 2 across the 2 of their papers we have counts for
3 papers
physics.app-ph2026
Electrolyte Bonding Engineering for Highly Uniform GeTe-based CBRAM and Parallel Hebbian Learning in Selector-free Hopfield Networks
Jiin Bang, Jingyeong Hwang, Unhyeon Kang +10
Hopfield networks offer a hardware-friendly framework for energy-efficient associative memory, yet their practical realization in memristor crossbar arrays is critically hindered b…
cond-mat.mtrl-sci2020★ 1 cited
Frequency-tunable nano-oscillator based on Ovonic Threshold Switch (OTS)
Seon Jeong Kim, Seong Won Cho, Hyejin Lee +11
Nano-oscillator devices are gaining more and more attention as a prerequisite for developing novel energy-efficient computing systems based on coupled oscillators. Here, we introdu…
cs.NE2017★ 1 cited
Markov chain Hebbian learning algorithm with ternary synaptic units
Guhyun Kim, Vladimir Kornijcuk, Dohun Kim +6
In spite of remarkable progress in machine learning techniques, the state-of-the-art machine learning algorithms often keep machines from real-time learning (online learning) due i…