Search Results - deep+learning-based+sensing

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Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors (Case No. 2023-192)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel platform technology to facilitate the design of all-optical visual processors, which can be used to perform advanced computational tasks at the speed of light. Background: Information processing via light is a cutting-edge field among optics...

Published: 4/5/2024 | Inventor(s): Aydogan Ozcan, MD Sadman Rahman, Xilin Yang

Keywords(s): Adaptive Optics, Algorithm Optical Coherence Tomography, all-optical diffractive computing, all-optical transformation, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Atomic Force Microscopy Optical Tweezers, computational imaging, deep diffractive network, Deep Learning, Deep learning-based sensing, diffractive processor, Dispersion (Optics), Electron Microscope, Electro-Optics, fluorescence microscopy, Focus (Optics), Infrared Electromagnetic Spectrum Dispersion (Optics), interference processor, large language model (LLNMs), linear optics, linear transformations, Machine Learning, Microscope, Microscopy, Microscopy And Imaging, Near-Field Scanning Optical Microscope, neural networks, Nonlinear Optics, non-linear optics, Optical Coherence , Optical Communication , Optical computing, Optical Fiber Copper Wire And Cable, optical implementation, Optical Microscope, Optical networks, optical processor, optical transmission, Optics Parabolic Reflector Curved Mirror, phase-only diffractive network, reverse engineered optical system, Software, Software & Algorithms, Software Development Tools, spatially-incoherent light, start to end optics design, Surgical Instrument Optical Coherence Tomography, three dimensional imaging, visual computing, Waferscale Processors

Category(s): Optics & Photonics, Optics & Photonics > Microscopy, Platforms, Software & Algorithms > Image Processing, Electrical, Electrical > Signal Processing, Electrical > Computing Hardware

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: 4/12/2024 | 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

A System for Active Learning for Automatic Target Recognition of SAR Data (Case No. 2022-175)

Summary: UCLA's Department of Mathematics researchers have developed an innovative method for the rapid and precise interpretation of SAR imagery, setting a new standard in image analysis efficiency. Background: Synthetic aperture radar (SAR) is utilized as an image reconstruction method for a wide array of applications, including satellite...

Published: 11/28/2023 | Inventor(s): Andrea Bertozzi, Kevin Miller

Keywords(s): active learning, AI algorithms, Algorithm, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence augmentation, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial-intelligent materials, Computer Aided Learning, Deep Learning, Deep learning-based sensing, defense applications, design software, feature space, human-in-the-loop, Imaging, Machine Learning, Medical artificial intelligence (AI), Remote Sensing, satellite imaging, Software, Software & Algorithms, Software Development Tools, Synthetic aperture radar (SAR), target detection, three dimensional imaging, Unsupervised Learning

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

Bio-Aerosol Detection Using Mobile Microscopy and Machine Learning (Case No. 2019-722)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an air analysis instrument and accompanying virtual aerosol detection method that combines imaging and deep learning to sense and classify airborne particles without external labeling or post processing steps. Background: Air quality management, particularly...

Published: 11/7/2023 | Inventor(s): Aydogan Ozcan

Keywords(s): aerosol, Agricultural & plant biology research, air quality measurement, bioaerosol, Bioterrorism detection, Deep Learning, Deep learning-based sensing, Digital Holography, Holography, Indoor air quality monitoring, Industrial applications: food processing, fermentation, label-free sensing, pollen detection, real-time sensing/monitoring/tracking, smart sensing

Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Life Science Research Tools > Microscopy And Imaging, Chemical > Chemical Sensors

Virtual Impactor-Based Label-Free Bio-Aerosol Detection Using Holography and Deep Learning (Case No. 2023-037)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a virtual aerosol detection method that combines imaging and deep learning to sense and classify bio-aerosols without any external labeling or post processing steps. Background: Bio-aerosol detection and classification is pivotal to understanding and...

Published: 2/27/2024 | Inventor(s): Aydogan Ozcan, Yi Luo, Tairan Liu

Keywords(s): air quality measurement, Artificial Neural Network, bioterrorism, computational imaging, Deep learning-based sensing, Digital Electronics, Digital Holography, Digital Signal Processing, Imaging, label-free imaging, label-free sensing, Mass Spec, pollen detection, Sensors, virtual impactors

Category(s): Electrical, Electrical > Sensors, Electrical > Imaging, Life Science Research Tools, Life Science Research Tools > Mass Spectrometry