Search Results - yuan+du

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2018-003 Deep-Learning Accelerator and Analog Neuromorphic Computation with CMOS-Compatible Charge-Trap-Transistor (CTT) Technique

SUMMARYUCLA researchers from the Department of Electrical Engineering have invented a charge trap transistor based computing architecture for neural networks applications.BACKGROUNDDeep neural networks have wide applications in industries such as machine vision, voice recognition and artificial intelligence- all of which are billion dollar markets growing...

Published: 11/15/2024 | Inventor(s): Yuan Du, Li Du, Mau-Chung Frank Chang

Keywords(s): Advanced Computing / AI, Electronics & Semiconductors

Category(s): Electrical > Electronics & Semiconductors, Electrical > Quantum Computing

2018-004 An Efficient Architecture to Compute Sparse Neural Network

SUMMARYUCLA researchers in the Department of Electrical Engineering have developed a novel hardware architecture for computing sparse neural networks.BACKGROUNDSparse neural networks (SNNs, or a neural network in which most matrices’ entries are zeros), are used to reduce the number of matrix coefficients, leading to more efficient storage and...

Published: 7/19/2023 | Inventor(s): Mau-Chung Frank Chang, Li Du, Yuan Du

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Communication & Networking, Computer Aided Learning, Software & Algorithms

Category(s): Software & Algorithms, Software & Algorithms > Data Analytics, Software & Algorithms > Artificial Intelligence & Machine Learning