Search Results - artificial-intelligent+materials

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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

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

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: 7/19/2023 | 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