An InGaZnO Synaptic Transistor Using Titanium-Oxide Traps at Back Channel for Neuromorphic Computing
Abstract: Synaptic transistors have attracted growing interest due to their potential in bio-inspired computing. Conventional synaptic transistors typically rely on charge traps, dipoles, or mobile ...
Abstract: As the demand for efficient, low-power computing in embedded and edge devices grows, traditional computing methods are becoming less effective for handling complex tasks. Stochastic ...
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