Search Results - computer+aided+learning

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Artificial Neural Network Train-Time Poison Defense via Energy-Based Model Dynamics Sampling (Case No. 2024-199)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel preprocessing algorithm to purify imperceptibly poisoned training datasets that may lead to misclassification and maintain image quality. Background: Large datasets are important for the effectiveness of machine learning models, serving as the...

Published: 9/30/2024 | Inventor(s): Gregory Pottie, Omead Pooladzandi, Sunay Bhat, Jeffrey Jiang

Keywords(s): AI algorithms, Algorithm, Artificial Intelligence, artificial intelligence augmentation, Automation, Autonomous driving, Big Data, Computer Aided Learning, Data Corruption, Digital Health, Machine Learning, Machine Learning Autonomous Car Gradient Descent

Category(s): Software & Algorithms, Platforms > Diagnostic Platform Technologies, Therapeutics > Radiology, Medical Devices > Monitoring And Recording Systems, Medical Devices > Neural Stimulation, Mechanical > Sensors

Intraoperative Deep Learning Model for Imputation of the Continuous Central Venous Pressure (CVP) and Pulmonary Arterial Pressure (PAP) Waveforms From (Case No. 2024-224)

Summary: Researchers in the UCLA Department of Anesthesiology have developed a deep learning model to accurately represent and visualize hemodynamic waveforms, or blood flow patterns, with minimally invasive approaches. Background: Swan-Ganz (SG) catheters are used for precise cardiac hemodynamic evaluations. Indicated for patients with severe...

Published: 9/3/2024 | Inventor(s): Maxime Cannesson, Sungsoo (Danny) Kim, Akos Rudas, Jeffrey Chiang, Ravi Pal

Keywords(s): active learning, Algorithm, algorithm-based testing, arterial blood pressure (ABP), Artifical Intelligence (Machine Learning, Data Mining), artificial intelligence algorithms, blood cancers, blood flow management, Blood Pressure, Blood Proteins, cardiovascular monitoring, catheter, Catheterization, central venous pressure (CVP), Computer Aided Learning, Continuous blood pressure monitoring, critical care, curriculum learning, Deep Learning, Deep learning-based sensing, deep-learning analysis algorithms, heart failure, hemodynamic monitoring, Machine Learning, non-invasive monitoring, Perceptual Learning, pulmonary arterial pressure (PAP), Software & Algorithms, Swan-Ganz catheter

Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Monitoring And Recording Systems

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: 10/17/2024 | 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

Interactive Reporting of Histopathological Image Analysis Performed by Artificial Intelligence (UCLA Case No. 2023-090)

Summary: Researchers from UCLA's Departments of Electrical and Computer Engineering and Pathology and Laboratory Medicine, along with a researcher from KUMC's Department of Pathology and Laboratory Medicine, have developed an innovative workflow for pathology, integrating artificial intelligence (AI) diagnostics with interactive reporting. Background: The...

Published: 10/25/2024 | Inventor(s): Xiang Chen, Hongyan Gu, Mohammad Haeri, Shino Magaki

Keywords(s): algorithmic cancer detection, Cancer, cancer detection, Computer Aided Learning, Digital Health, Digital Holography, Digital immunohistology, Digital Pathology, Histology, Histopathological image analysis, Histopathology, Immunohistochemistry, Medical science computing

Category(s): Medical Devices, Medical Devices > Medical Imaging, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing

2022-241 A TSV-Less Architecture for Power Delivery and I/O for Interposers and Other Advanced Packaging Constructs

Summary: UCLA researchers led by Professor Iyer have developed a wafer-scale processor manufacturing method that does not require standard through-silicon vias (TSVs). Background: With the rise of machine learning applications, demand for devices capable of high-performance computing (HPC) has also increased. Popularity and demand for wafer-scale...

Published: 7/19/2023 | Inventor(s): Subramanian Iyer, Haoxiang Ren, Saptadeep Pal

Keywords(s): Amorphous Silicon, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Artificial Neural Network, Bandwidth (Signal Processing), Brain-Computer Interface, Brain-Computer Interface Body Mass Index, Chipset, Clock Signal, Computer Aided Design & Manufacturing, Computer Aided Learning, Computer Architecture, Computer Monitor, Computer Security, Computer Virus, Computer Vision, Computer-Aided Design, Computer-Aided Diagnosis, Continuum Mechanics Computer Graphics Collision Detection, Digital Signal Processing, Doping (Semiconductor), Electrical, Electrical Engineering, Electrical Impedance, Electrical Load, Electrical Resistance And Conductance, Electrical Resistivity And Conductivity, Electronics & Semiconductors, Graphics Processing Unit, Graphics Processing Unit Analog Computer, Human-Computer Interaction, Machine Learning, Machine Vision, Manufacturing, Microelectronics Semiconductor Device Fabrication, Microprocessor, Network Analysis (Electrical Circuits), Network On A Chip, Organic Semiconductor, Quantum Computer, Semiconductor, Semiconductor Device, Semiconductor Device Fabrication, Semiconductor Ohmic Contact, Semiconductor Risk Assessment, Semiconductor Sapphire, Semiconductors, Signal Processing, Silicon, Silicon Dioxide, Silicon Working Electrode Perovskite (Structure), Silicon-Germanium, Supercomputer, System On A Chip, Tablet Computer

Category(s): Electrical, Electrical > Electronics & Semiconductors, Electrical > Signal Processing, Materials > Semiconducting Materials, Electrical > Electronics & Semiconductors > Circuits, Software & Algorithms > Artificial Intelligence & Machine Learning

Silicon Interconnect Fabric (Si-IF) Technologies - Subramanian Iyer

Background: Over the past two decades, silicon chips have decreased in size by 1000x, while packages on circuit boards have only shrunk by 4x. This will eventually limit scaling of integrated circuits and subsequent processor performance. A solution is the invention of platforms for packageless integration of heterogeneous dies, such as silicon interconnect...

Published: 7/19/2023 | Inventor(s): Subramanian Iyer

Keywords(s): Amorphous Silicon, Antenna (Radio) Flip Chip DisplayPort, Application-Specific Integrated Circuit, Bandwidth (Signal Processing), Bandwidth (Signal Processing) RF Transmitters, Brain-Computer Interface, Brain-Computer Interface Body Mass Index, Chipset, Computer Aided Design & Manufacturing, Computer Aided Learning, Computer Architecture, Computer Monitor, Computer Security, Computer Virus, Computer Vision, Computer-Aided Design, Computer-Aided Diagnosis, Continuum Mechanics Computer Graphics Collision Detection, Digital Signal Processing, Doping (Semiconductor), 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, Electronics & Semiconductors, Enzyme Substrate (Biology), Graphics Processing Unit, Graphics Processing Unit Analog Computer, Human-Computer Interaction, Image Processing, Integrated Circuit, Integrated Circuit Standing Wave, Integrated Circuit Via (Electronics), Lab-On-A-Chip, Microelectronics Semiconductor Device Fabrication, Microprocessor, Mixed-Signal Integrated Circuit, Monolithic Microwave Integrated Circuit, Network Analysis (Electrical Circuits), Network On A Chip, Organic Semiconductor, Photonic Integrated Circuit, Printed Circuit Board, Process Optimization, Quantum Computer, Semiconductor, Semiconductor Device, Semiconductor Device Fabrication, Semiconductor Ohmic Contact, Semiconductor Risk Assessment, Semiconductor Sapphire, Semiconductors, Short Circuit, Signal Processing, Silicon, Silicon Dioxide, Silicon Working Electrode Perovskite (Structure), Silicon-Germanium, Substrate (Chemistry), Supercomputer, System On A Chip, Tablet Computer, Three-Dimensional Integrated Circuit, Transcutaneous Electrical Nerve Stimulation, zzsemiconducting materials

Category(s): Electrical, Electrical > Electronics & Semiconductors, Materials, Materials > Semiconducting Materials, Medical Devices, Medical Devices > Coatings

2019-737 Deep Learning-Based Color Holographic Microscopy

Summary: UCLA researchers in the Department of Electrical Engineering have developed a novel deep learning-based method that performs high-fidelity color image reconstruction using a single hologram. Background: Pathology slides are currently the gold standard in diagnostics for many diseases. Accurate color representations of well stained pathology...

Published: 7/19/2023 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Tairan Liu, Yibo Zhang, Zhensong Wei

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Neural Network, Computer Aided Learning, Confocal Microscopy, Cytopathology, Digital Holography, Electron Microscope, Fluorescence Microscope, Fluorescence-Lifetime Imaging Microscopy Leading Lights, Histology, Histopathology, Holography, Image Resolution, Imaging, Immunohistochemistry, Machine Learning, Magnetic Resonance Imaging Pathology, Medical Imaging, Microscope, Microscopy, Microscopy And Imaging, Neuropathology, Pathogen, Pathogenesis, Pathophysiology, Perceptual Learning, Unsupervised Learning , Wavelength

Category(s): Electrical, Electrical > Imaging, Life Science Research Tools, Life Science Research Tools > Microscopy And Imaging, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Diagnostic Markers, Medical Devices > Medical Imaging

2022-140 Label-Free Virtual HER2 Immunohistochemical Staining of Breast Tissue Using Deep Learning

SUMMARY: UCLA researchers in the Departments of Bioengineering and Electrical and Computer Engineering have developed a deep learning-based algorithm that can detect and quantify the breast cancer marker human epidermal growth factor receptor 2 (HER2) in microscopic images without the need for time-consuming immunohistochemical staining (IHC). BACKGROUND:...

Published: 4/9/2024 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Bijie Bai, Hongda Wang

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Biomarker, Bladder Cancer, Breast Cancer, Cancer, Cancer Immunotherapy, Computer Aided Learning, Diagnostic Markers & Platforms, Diagnostic Test, Fluorescence, Fluorescent Labelling, HER2/Neu, Histology, Immune System, Immunohistochemistry, Life Science Research Tools, Machine Learning, Optics, Research Methods, Unsupervised Learning

Category(s): Life Science Research Tools, Life Science Research Tools > Research Methods, Diagnostic Markers, Diagnostic Markers > Immunology, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > Fluorescence, Software & Algorithms > Artificial Intelligence & Machine Learning, Optics & Photonics

2019-985 The Simultaneous Localization and Mapping (SLAM) Algorithm Based on Online EM

SUMMARYResearchers led by Tsang-Kai Chang and Chaojie Feng from the Department at UCLA have created a scalable and real-time SLAM algorithm for autonomous robots.BACKGROUNDA mobile robot relies on the simultaneous localization and mapping (SLAM) algorithm to create a map in an unknown environment while also localizing itself in it. As robots become...

Published: 7/19/2023 | Inventor(s): Chaojie Feng, Tsang-Kai Chang

Keywords(s): Advanced Computing / AI, Artifical Intelligence (Machine Learning, Data Mining), Computer Aided Learning, Control Systems, Robotics, Simulation & Modeling, Software, Software & Algorithms

Category(s): Mechanical > Robotics, Software & Algorithms > Programs

2018-004 An Efficient Architecture to Compute Sparse Neural Network

SUMMARYUCLA researchers in the Department of Electrical Engineering have developed a novel hardware architecture for computing sparse neural networks.BACKGROUNDSparse neural networks (SNNs, or a neural network in which most matrices’ entries are zeros), are used to reduce the number of matrix coefficients, leading to more efficient storage and...

Published: 7/19/2023 | Inventor(s): Mau-Chung Frank Chang, Li Du, Yuan Du

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Communication & Networking, Computer Aided Learning, Software & Algorithms

Category(s): Software & Algorithms, Software & Algorithms > Data Analytics, Software & Algorithms > Artificial Intelligence & Machine Learning