Search Results - artificial+neural+network

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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: 9/27/2024 | 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

Method of Proficient Typing Using a Limited Number of Classes (Case No. 2024-063)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel software algorithm to rapidly predict text using small keyboards for various applications, including mobile computing, gaming, and human-computer interactions. Background: Advancements in mobile computing have drastically changed everyday life...

Published: 11/6/2024 | Inventor(s): Jonathan Kao, Shreyas Kaasyap, John Zhou, Johannes Lee, Nima Hadidi

Keywords(s): Advanced Computing / AI, advanced computing methods, all-optical diffractive computing, Artificial Neural Network, Artificial Neural Network Artificial Neuron, assistive communication, background radiation, Bandwidth (Computing), Brain computer interface, brain machine interface, Classroom management software, Cloud Computing, composite scintillators, Database management/data entry, deep physical neural network, design software, edge computing, fast scintillators, gamma spectroscopy, graph neural network, HCI (Human Computer Interaction), high-Z organometallics, Human/Brain computer interfaces (BCI/HCI), human-centered computing, material characterization, Medical science computing, mobile computing, modular robotic system, nanocomposite scintillators, neural network, neural networks, neutrino detection, Optical computing, positron emission tomography (PET), predictive text, primary school software, radiation detection, recurrent neural networks, Robotics, robotics control, scintillators, second harmonic generation, secondary school software, self-sustaining computing, soft robotics, Software, Software & Algorithms, Software Development Tools, Software-enabled learning, Spatial computing, Stochastic Computing (SC), T6 keyboard, T9 keyboard, visual computing, wafer-scale computing

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Communication & Networking

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: 11/15/2024 | 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

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

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: 8/7/2024 | 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

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: 10/3/2024 | 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

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: 8/20/2024 | 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

AI Copilot: Enhancing Brain-Machine Interface Performance (UCLA Case No. 2023-110)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an artificial intelligence (AI) assistance framework for brain-machine interface (BMI) applications designed to enhance users' ability to complete tasks efficiently and swiftly. Background: Paralysis affects over 5 million individuals in the U.S.,...

Published: 7/30/2024 | Inventor(s): Jonathan Kao, Brandon McMahan, Sangjoon Lee, Johannes Lee

Keywords(s): actor-critic networks, AI copilot, Artificial Intelligence, Artificial Neural Network, Brain-Computer Interface, brain-machine interface (BMI), deep reinforcement learning, integrated robotics, neural effort, neural information, neural signals, non-invasive BMI, Orthopedics and Prosthetics (O & P), Prosthesis, Prosthetics, Robotics

Category(s): Medical Devices, Medical Devices > Prosthetics, Mechanical, Mechanical > Robotics, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Electronics & Semiconductors

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