Search Results - quanquan+gu

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Object-Detecting Deep Learning for Multi-Event Electrochemical Data (Case No. 2024-088)

Summary: UCLA researchers in the Department of Chemistry and Biochemistry developed a custom-designed deep learning architecture for object detection and mechanisms classification to streamline the experimental design of cyclic voltammograms. Background: Cyclic voltammetry, a widely used electrochemical test, serves as a crucial tool in understanding...

Published: 8/23/2024 | Inventor(s): Chong Liu, Quanquan Gu, Benjamin Hoar, Weitong Zhang, Yuanzhou Chen

Keywords(s): 2D ultrasound imaging, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, bioelectronics, Biomaterial, electrochemical sensors, Electronics & Semiconductors, Lithium Battery, Lithium-Ion Battery, Machine Learning, Materials, Medical Devices and Materials, Medical diagnostics, Pharmaceutical Drug, Pharmaceutical testing, Rechargeable Battery, zzenergy storage

Category(s): Electrical > Electronics & Semiconductors, Energy & Environment > Energy Efficiency, Energy & Environment > Energy Storage, Energy & Environment > Water Monitoring & Treatment, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Signal Processing

2022-214 Machine-Learning-Based Automatic Analysis of Electrochemical Characterizations

SUMMARY: UCLA researchers in the Department of Chemistry and Biochemistry have developed a machine-learning based algorithm that identifies reaction mechanisms from cyclic voltammetry data and offers accurate interpretations of complex electrochemical data. BACKGROUND: Electrochemistry is a readily accessible and valuable tool for researchers to...

Published: 7/19/2023 | Inventor(s): Chong Liu, Quanquan Gu, Benjamin Hoar, Weitong Zhang

Keywords(s): Algorithm, Instrumentation & Analysis, Life Science Research Tools, Machine Learning, Software & Algorithms

Category(s): Life Science Research Tools > Research Methods, Electrical > Instrumentation, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Programs

A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM

UC Case No. 2019-884SUMMARY: UCLA researchers in the Department of Mathematics have developed a method to maintain data privacy.BACKGROUND:Companies use machine learning (ML) algorithms to analyze their user base for information to improve targeted advertisements and customer tracking. However, with many parameters in the accumulated data sets, the...

Published: 7/19/2023 | Inventor(s): Stanley Osher, Bao Wang, Quanquan Gu, March Boedihardjo, Farzin Barekat

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Software & Algorithms

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