Search Results - jingxi+li

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All-Optical Phase Conjugation Using Diffractive Wavefront Processing (Case No. 2024-104)

Intro Sentence: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel method for all-optical phase conjugation to correct phase aberrations for various applications, including laser beam focusing and optical communications. Background: Distortion of wavefronts causes deviation from its ideal shape through...

Published: 11/14/2024 | Inventor(s): Aydogan Ozcan, Jingxi Li, Che-Yung Shen

Keywords(s):

Category(s): Optics & Photonics, Electrical, Electrical > Signal Processing, Electrical > Instrumentation, Electrical > Electronics & Semiconductors

Extended-Range Stochastic Computing (Case No. 2022-300)

Short description: Demand for deep-learning compute has continued to grow, as computation errors and accuracy issues remain among stochastic computing (SC) methods. In order to increase adoptability, proposed solutions have often been exchanged for loss of runtime or training performance. To address this issue of accuracy, Prof. Gupta et. al. proposes...

Published: 9/26/2024 | Inventor(s): Aydogan Ozcan, Jingxi Li

Keywords(s):

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

Rapid Sensing of Hidden Objects and Defects Using a Single-Pixel Diffractive Terahertz Processor (Case No. 2023-184)

Summary: UCLA researchers have developed a diffractive sensor that leverages deep-learning-optimized diffractive layers to rapidly detect hidden objects and defects within a 3D sample without scanning or image processing. Background: Inspecting hidden structures is a critical requirement in various fields, including security, manufacturing, and...

Published: 6/13/2024 | Inventor(s): Aydogan Ozcan, Jingxi Li

Keywords(s): Deep learning-based sensing, Electrical, Electrical Engineering, Image Processing, Machine Learning, real-time sensing/monitoring/tracking, Remote Sensing, smart sensing, target detection

Category(s): Electrical, Electrical > Sensors, Optics & Photonics > Spectroscopy, Software & Algorithms > Artificial Intelligence & Machine Learning

2022-230 Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an all-optical diffractive network that can find applications in machine learning-related vision tasks and all-optical computing systems. Background: Optical computing is a gateway to the future, as it can revolutionize computation by making classically...

Published: 8/21/2023 | Inventor(s): Aydogan Ozcan, Jingxi Li

Keywords(s): Advanced Computing / AI, all-optical diffractive computing, all-optical transformation, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial-intelligent materials, classification, Deep Learning, diffractive network, diffractive processor, Electrical, Electrical Engineering, Internet of Things (IoT), Machine Vision, machine vision task, multiplexing, Optical Coherence , Optical Communication , Optical Fiber Copper Wire And Cable, Optical Microscope, Optics, polarization multiplexed diffractive processor, polarization multiplexing, polarization-based machine vision tasks, polarization-encoded diffractive network

Category(s): Electrical, Electrical > Instrumentation, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Optics & Photonics, Electrical > Electronics & Semiconductors

2021-344 Biopsy-Free In Vivo Virtual Histology of Skin Using Deep Learning

Summary: UCLA researchers in the Departments of Electrical and Computer Engineering & Bioengineering have developed a non-invasive, biopsy-free technique for in vivo virtual histology of skin cancer using deep learning. Background: Tissue biopsies have often been used to diagnose skin cancers in patients. These procedures are generally cumbersome...

Published: 7/19/2023 | Inventor(s): Aydogan Ozcan, Jingxi Li, Yair Rivenson, Xiaoran Zhang, Philip Scumpia, Jason Garfinkel, Gennady Rubinstein

Keywords(s): Artificial Intelligence, Biopsy, Cancer, Confocal Microscopy, Diagnostic Test, Histology, Image Resolution, Invasiveness Of Surgical Procedures, Melanoma, Optics, Skin, Software, Tissue (Biology), Tumor

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Life Science Research Tools, Life Science Research Tools > Microscopy And Imaging, Electrical > Imaging, Medical Devices > Medical Imaging, Optics & Photonics

2021-072 Ensemble Learning of Diffractive Optical Networks

SUMMARYUCLA researchers in the Department of Electrical and Computer Engineering have improved the statistical inference performance of diffractive optical networks for artificial intelligence-related applications.BACKGROUNDOptical computing platforms are having renewed interest in artificial intelligence-related applications. Due to their high speed,...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, MD Sadman Rahman, Jingxi Li, Yair Rivenson, Deniz Mengu

Keywords(s):

Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Optics & Photonics