Search Results - artificial+electromagnetic+materials

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Event-Driven Integrate and Fire (EIF) Neuron Circuit for Neuromorphic Computing System (Case No. 2024-275)

Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed an energy efficient neuromorphic computing architecture. Background: Widespread growth in demand for artificial intelligence systems has highlighted limitations in current central processing unit (CPU) designs, particularly in terms of energy efficiency...

Published: 3/4/2025 | Inventor(s): Mau-Chung Chang, Chao Jen Tien, Yong Hei

Keywords(s): Advanced Computing / AI, advanced computing methods, AI hardware, analog computing, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial intelligence-generated content, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial presenting cells, artificial-intelligent materials, Cloud Computing, computational efficiency, computational imaging, compute-in-memory, Computer Aided Learning, Computer Architecture, Computer Monitor, Computer Vision, CPU design, deep neural networks (DNN), Energy Density, Energy Efficiency, event-driven processing, generative artificial intelligence, latency encoding, low latency computing, low-power architecture, matrix multiplication, Medical artificial intelligence (AI), Neuromorphic computing, offline learning, online learning, spike neural networks (SNN), Supercomputer

Category(s): Electrical, Electrical > Signal Processing, Electrical > Electronics & Semiconductors, Electrical > Computing Hardware, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning

Carrier Storage Frequency Divider Using Silicon PIN Diodes (Case No. 2025-023)

Summary: Researchers in UCLA’s Department of Electrical and Computer Engineering have designed and fabricated an innovative device capable of frequency division at the Terahertz range, featuring low power consumption, quadrature outputs, and high sensitivity. Background: Traditional electronic and optical devices struggle to operate at the...

Published: 2/14/2025 | Inventor(s): Sidharth Thomas, Aydin Babakhani, Benyamin Fallahi Motlagh

Keywords(s): Analogue Electronics, Antennas/Wireless, artificial electromagnetic materials, Bandwidth (Signal Processing), Bioelectromagnetics, bioelectronics, bistable electroactive polymer, Cardiac Electrophysiology, Consumer Electronics, Continuous-Wave Radar, Digital Electronics, Digital Signal Processing, Electrical Engineering, Electroactive Polymers, Electrocatalyst, electrochemical sensors, Electrode, Electrode 3D Printing, electrodeposition, electrodes, Electroencephalography, Electroencephalography (EEG), Electroencephalography Microsecond Neurofeedback, Electrolyte, electromagnetic, Electromagnetism, Electron, electron emittance, Electron Gun, Electronics & Semiconductors, energy-efficient wireless communication, Extremely High Frequency, high-frequency signals, image signal processing, Imaging, Integrated Circuit, low-power device, Optical networks, PIN Diode, power conversion efficiency, Radar, Radar / Antennae, Remote Sensing, Semiconductor, Semiconductor Device, Semiconductors, signal decoding, Signal Processing, Silicon, Synthetic aperture radar (SAR), Wireless, wireless communication, wireless connectivity, Wireless Sensor Network, wireless spectrum

Category(s): Electrical > Electronics & Semiconductors, Electrical > Electronics & Semiconductors > Circuits, Electrical, Electrical > Wireless, Electrical > Signal 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: 2/14/2025 | 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

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: 2/14/2025 | 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

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: 2/14/2025 | 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: 2/14/2025 | 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

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: 2/14/2025 | 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