Search Results - artifical+intelligence+(machine+learning%2c+data+mining)

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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
A Programming Language to Execute Biological Experiments (Command Line Biology/Biowrapper) (Case No. 2024-049)
Intro Sentence: UCLA researchers in the Department of Molecular and Medical Pharmacology have developed a programming language to automate biological experiments. Background: Manual labor is a common bottleneck in biological sciences, with automation technology still being unobtainable and impractical for most scientists in biomedical research....
Published: 4/4/2024   |   Inventor(s): Robert Damoiseaux, Michael Mellody, Ronan Bennett, Alejandro Huerta, Rutu Shah
Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence augmentation, Artificial Neural Network, artificial-intelligent materials, Automation, generative artificial intelligence, Machine Learning, machine learning modeling, Medical artificial intelligence (AI), Programmable Logic Device
Category(s): Software & Algorithms, Software & Algorithms > Data Analytics, Software & Algorithms > Programs, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Life Science Research Tools, Life Science Research Tools > Research Methods
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: 12/19/2023   |   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
Copyright: Machine Learning-Assisted Design of High Power Laser Systems (Case No. 2024-067)
Summary: UCLA Researchers from the Department of Electrical and Computer Engineering have developed a novel software leveraging advanced machine learning methods to simulate and design high-power laser systems. Background: High-power laser systems are crucial to many established industries and in cutting edge research. These systems can be used in...
Published: 1/8/2024   |   Inventor(s): Sergio Carbajo Garcia, Jack Hirschman, Randy Lemons
Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence augmentation, Artificial Neural Network, artificial-intelligent materials, efficient laser design, Electronics & Semiconductors, Electro-Optics, high-powered laser systems, Laser, lasers, Lens (Optics), linear optics, machine learning modeling, Medical artificial intelligence (AI), non-linear optics, Optical Communication , Optical computing, optical implementation, Optics, parameter sweeping, Physics simulation, precision engraving, precision welding, reverse engineered optical system, Semiconductor, Semiconductor Device, Semiconductor Device Fabrication, start to end optics design
Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical, Electrical > Instrumentation, Optics & Photonics, Optics & Photonics > Lasers
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
Copyright: Smart Histopathological Image Viewer With Guidance Generated by Artificial Intelligence (Case No. 2023-103)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an AI-guided, smart histopathological image viewer to aid clinicians in the identification of regions of interest. Background: Digital pathology has transformed traditional glass histology slides into high-resolution digital slide images, priming the...
Published: 10/25/2023   |   Inventor(s): Xiang Chen, Hongyan Gu, Mohammad Haeri, Shino Magaki
Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Neural Network, Clinical decision support system, Computer-Aided Diagnosis, Digital Health, Digital Pathology, Histopathological image analysis, Histopathology, histopathology images, Human-AI collaboration, Human-AI interaction, Medical artificial intelligence (AI), Medical Imaging, pathology image analysis
Category(s): Electrical, Electrical > Imaging, Medical Devices, Medical Devices > Medical Imaging, Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing
Copyright: Artificial Intelligence Augmented Expressive Writing Tool (Case No. 2023-084)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel software tool that leverages artificial intelligence to assist with a user’s expressive writing process. Background: With the recent rise in mental health diagnoses and awareness, there is a higher demand for mental health services which...
Published: 12/20/2023   |   Inventor(s): Xiang Chen, Ruolin Wang
Keywords(s): active learning, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence augmentation, Artificial Neural Network, clinical mental health, design software, expressive writing, human-centered computing, intervention, Machine Learning, Mental health, Software, Software & Algorithms, Software Development Tools, talk therapy, therapy
Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning
Stain-Free, Rapid, and Quantitative Viral Plaque Assay Using Deep Learning and Holography (Case No. 2022-326)
Intro Sentence: UCLA researchers in the Department of Electrical and Computer Engineering have developed a rapid and stain-free quantitative assay using lens-free holography and deep learning to efficiently and cost-effectively determine the presence of viral plaque-forming units (PFUs) in samples. Background: A broad range of viruses have caused...
Published: 3/7/2024   |   Inventor(s): Aydogan Ozcan, Yuzhu Li, Tairan Liu
Keywords(s): Antiviral Drug, Artifical Intelligence (Machine Learning, Data Mining), Assay, Bioassay, Computer Aided Learning, Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Diagnostic Test, Digital Holography, Electrical, Electrical Brain Stimulation, Electrical Breakdown, Electrical Engineering, Electrical Impedance, Electrical Load, Electrical Load Equation Of State, Electrical Resistance And Conductance, Electrical Resistivity And Conductivity, Holography, Immunoassay, Immunoassay Sense (Molecular Biology), Lentivirus Viral Vector, Machine Learning, Machine Learning Autonomous Car Gradient Descent, Machine Learning Pain Management, Machine Learning Particulates Global Climate Model, Network Analysis (Electrical Circuits), Perceptual Learning, Plasmid Trabecular Meshwork Aqueous Humour Viral Vector, Targets And Assays, Transcutaneous Electrical Nerve Stimulation, Transfection Viral Vector, Unsupervised Learning , Viability Assay, Viral Delivery Systems, Viral Envelope, Viral Load
Category(s): Diagnostic Markers, Diagnostic Markers > Targets And Assays, Electrical, Life Science Research Tools, Life Science Research Tools > Research Methods, Life Science Research Tools > Other Reagents, Software & Algorithms > Artificial Intelligence & Machine Learning
Intelligent, Adaptive, and Multimodal Data-Driven Epileptogenic Zone Identification and Cognitive Function Mapping Platform (UCLA Case No. 2023-214)
Summary: UCLA researchers in the Departments of Neurology and Electrical and Computer Engineering have developed a data-driven, deep learning-powered software platform to localize epileptogenic tissues in the brain and cognitively map nearby regions. Background: According to the World Health Organization, 50 million people around the world suffer...
Published: 1/24/2024   |   Inventor(s): Vwani Roychowdhury, Hiroki Nariai, Richard Staba, Yipeng Zhang
Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Artificial Neural Network, Biomonitoring, Brain Mapping, Condition monitoring, Deep Learning, Digital Health, Digital Pathology, Electroencephalography (EEG), Epilepsy, Hospital Systems And Devices, Medical Device, Medical Devices and Materials, Monitoring (Medicine), Monitoring And Recording Systems, MRI, PET, remote monitoring, Software, Software & Algorithms
Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems
The Growing Role of Digital Pathology and Machine Learning in Cancer Diagnostics (UCLA Case No. 2021-134)
Summary: Researchers at UCLA's Department of Radiological Sciences have developed an active learning methodology for digital pathology image analysis, addressing challenges posed by inconsistent annotations and revolutionizing the training of diagnostic algorithms. Background: The global digital pathology market is anticipated to experience significant...
Published: 8/9/2023   |   Inventor(s): Corey Arnold, Wenyuan Li, Jiayun Li, William Speier
Keywords(s): active learning, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Artificial Neural Network, artificial-intelligent materials, computational imaging task, convolutional networks, curriculum learning, Deep Learning, deep physical neural network, Digital Pathology, dynamic identification, Histopathological image analysis, histopathology images, Image Processing, Magnetic Resonance Imaging Pathology, Medical Devices and Materials, Medical Imaging, noisy annotations, noisy label detection, pathology image analysis
Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Electrical > Imaging, Medical Devices > Medical Imaging
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