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Synaptic Circuits Made From Transistors and Memory Capacitors (UCLA Case No. 2023-092)

Summary: UCLA researchers from the Department of Mechanical and Aerospace Engineering have developed a novel circuit architecture that emulates neural synapses for concurrent parallel computing. Background: Almost all modern computer chips consist of computing and learning processes that are implemented sequentially. To improve computing power,...

Published: 11/15/2024 | Inventor(s): Yong Chen, Zixuan Rong

Keywords(s): Application-Specific Integrated Circuit, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, Artificial Intelligence, artificial intelligence augmentation, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial-intelligent materials, autonomous control, computational efficiency, edge computing, Electronics & Semiconductors, Energy Efficiency, energy management, Integrated Circuit, Medical artificial intelligence (AI), Neuromorphic circuits, parallel processing, parallel signal processing, processor design, Semiconductor, semiconductor chip foundries, Semiconductor Device, Semiconductors, synaptic resistor (synstor)

Category(s): Electrical, Electrical > Electronics & Semiconductors, Electrical > Signal Processing, Materials, Materials > Semiconducting Materials, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning