Search Results - artificial-intelligent+materials

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Securing Camera and Photography Systems From Deepfakes by Verifying Provenance and Reducing Attack Surfaces (Case No. 2024-270)
Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed a multi-layer security framework to verify deepfake imagery data. Background: The exponential improvements in generative AI pose serious implication to the rise of synthetic media or “deepfakes”. Soon, deepfake images and videos will be...
Published: 7/23/2024   |   Inventor(s): Alexander Vilesov, Achuta Kadambi, Yuan Tian, Nader Sehatbakhsh
Keywords(s): AI image security, Artificial Intelligence, artificial intelligence algorithms, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial-intelligent materials, attack surface reduction, data security, Deep Learning, Deep learning-based sensing, deep physical neural network, deepfake, deepfake protection, deep-learning analysis algorithms, deep-learning fake (deepfake), generative artificial intelligence, image authenticity verification, image provenance, image signal processing, Medical artificial intelligence (AI), social media, third-party verification
Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Software & Algorithms > Security & Privacy, Electrical, Electrical > Visual Computing, Electrical > Visual Computing > Video Processing
Dynamic Extension of the Eyebox for Maxwellian View AR Waveguides (Case No. 2024-163)
Summary: Researchers in the Department of Electrical & Computer Engineering have developed a new metasurface material that improves the size and resolution of augmented reality overlays. Background: Augmented reality (AR) waveguide displays have revolutionized the way users can interact with virtual content overlaid in the real world. High...
Published: 8/16/2024   |   Inventor(s): Chee Wei Wong, Hyunpil Boo
Keywords(s): artificial electromagnetic materials, artificial-intelligent materials, Augmented Reality, augmented reality (AR), bacterial nanocellulose, Carbon Nanotube, Composite Materials, Construction Materials, Extended reality, Functional Materials, intercalated materials, liquid crystal nanofibers, Materials, Medical Devices and Materials, meta materials, metal nanocomposites, metasurfaces, microarchitectured materials, Microfluidics Nanosphere, Mixed Reality, nanobody, nanocomposite scintillators, Nanocomposites, Nanocrystal, nanocrystalline metals, nanodispersion, Nanoelectronics, Nanoemulsion droplet, Nanofiber, nanograined metals, Nanomaterials, Nanoparticle, Nanoparticles, nanophotonic, nanophotonic structures, nanophotonics, Nanosensor, Nanostructure, nanostructured materials, Nanotechnology, Optoelectronic materials, photonic materials, Raw materials supplier, Toxicity Of Nanomaterials, Ultrahard materials/abrasives, Virtual Reality, Virtual Reality Braille Haptic Technology Joule Heating, Virtual Reality Occupational Therapy Exercise Machine, Water Purification, Nanofiltration, Ultrafiltration, zzsemiconducting materials
Category(s): Software & Algorithms, Software & Algorithms > Ar/Vr, Materials, Materials > Composite Materials, Materials > Functional Materials, Materials > Nanotechnology
Nanocomposite Scintillators (Case No. 2024-126)
Summary: UCLA researchers from the Department of Materials Science and Engineering have developed a novel nanocomposite material for high-efficiency radiation detection and monitoring. Background: Scintillators are materials that emit light when they absorb radiation, such as gamma rays or x-rays. The photons generated by the scintillators can...
Published: 5/15/2024   |   Inventor(s): Qibing Pei, Ziqing Han
Keywords(s): adhesive material, Algorithm Optical Coherence Tomography, anode material, artificial electromagnetic materials, artificial-intelligent materials, background radiation, Biomaterial, Biomaterial 3D Printing, bulk material, Composite Material, composite scintillators, Computed tomography, Computerized Tomography scan (CT), Diffraction Tomography, Drug Delivery Microporous Material, fast scintillators, gamma spectroscopy, High resolution computed tomography, high-Z organometallics, hole transporting material, Hyperelastic Material, intercalated materials, material characterization, Materials, meta materials, metal nanocomposites, microarchitectured materials, nanocomposite scintillators, Nanocomposites, Nanomaterials, Nanoparticle, Nanoparticles, nanostructured materials, neutrino detection, Optical Tomography, Optoelectronic materials, photonic materials, positron emission tomography (PET), radiation detection, Raw materials supplier, scintillators, second harmonic generation, Smart Material, Solar Cell Metamaterial, Surgical Instrument Optical Coherence Tomography, suturable biomaterial, X-Ray Computed Tomography
Category(s): Chemical, Chemical > Chemical Sensors, Materials, Materials > Functional Materials
Full Spectrum Computer Vision for Photon Counting CT (Case No. 2024-058)
Summary: Researchers in the Department of Radiological Sciences have developed a machine learning algorithm that processes multispectral photon counting CT data for accurate medical imaging. Background: Photon counting computed tomography (PCCT) is a tremendous engineering advancement, enabling high resolution spectral imaging with myriad applications....
Published: 9/20/2024   |   Inventor(s): Matthew Brown, Dieter Enzmann, John Hoffman, Michael Mcnitt-Gray
Keywords(s): AI algorithms, Algorithm, Algorithm Optical Coherence Tomography, algorithmic cancer detection, 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, Big Data, Bladder Cancer, blood cancers, Brain cancer, Breast Cancer, Cancer, cancer antigen, cancer detection, Cancer Immunotherapy, Cancer stem cells, cancer target, Computed tomography, CT, Deep Learning, design software, Digital Pathology, generative artificial intelligence, Genetic Algorithm, Histopathological image analysis, Histopathology, histopathology images, hyperparameter optimization, Image Analysis, Image Processing, lympathic cancers, lymphatic cancer, Medical artificial intelligence (AI), Mesenchymal Stem Cell Derived Cancer Cells, Orthotopic cancer models, Pancreatic cancer, pathology image analysis, Photon counting computed tomography (PCCT), prostate cancer, Radiology, Radiology / Radiomitigation, Software, Software & Algorithms, Software Development Tools, Software-enabled learning
Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics
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: 9/3/2024   |   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: 8/22/2024   |   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
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
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
2022-317 Mechanical Neural-Network-Based Metamaterial That Learns Its Properties
Summary: UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed a new type of meta-material that can actively adapt its mechanical properties from exposure to external stimuli. Background: As technologies have evolved, humans developed new methods to produce unique materials, such as plastics, steels and composites,...
Published: 9/17/2024   |   Inventor(s): Jonathan Hopkins, Erwin Mulder, Ryan Hansen Lee
Keywords(s): active actuators, additive manufacturing, Artificial Neural Network, artificial-intelligent materials, Composite Material, Composite Materials, Construction Materials, deep physical neural network, Flexible Electronics, Functional Materials, lattice structures, Materials, Medical Devices and Materials, meta materials, microarchitectured materials, Nanomaterials, Smart Material, stiffness tunability
Category(s): Materials, Mechanical, Electrical, Electrical > Signal Processing, Software & Algorithms