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Search Results - machine+learning
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Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors (Case No. 2023-192)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel platform technology to facilitate the design of all-optical visual processors, which can be used to perform advanced computational tasks at the speed of light. Background: Information processing via light is a cutting-edge field among optics...
Published: 4/5/2024
|
Inventor(s):
Aydogan Ozcan
,
MD Sadman Rahman
,
Xilin Yang
Keywords(s):
Adaptive Optics
,
Algorithm Optical Coherence Tomography
,
all-optical diffractive computing
,
all-optical transformation
,
Artifical Intelligence (
Machine Learning
, Data Mining)
,
Artificial Intelligence
,
Atomic Force Microscopy Optical Tweezers
,
computational imaging
,
deep diffractive network
,
Deep Learning
,
Deep learning-based sensing
,
diffractive processor
,
Dispersion (Optics)
,
Electron Microscope
,
Electro-Optics
,
fluorescence microscopy
,
Focus (Optics)
,
Infrared Electromagnetic Spectrum Dispersion (Optics)
,
interference processor
,
large language model (LLNMs)
,
linear optics
,
linear transformations
,
Machine Learning
,
Microscope
,
Microscopy
,
Microscopy And Imaging
,
Near-Field Scanning Optical Microscope
,
neural networks
,
Nonlinear Optics
,
non-linear optics
,
Optical Coherence
,
Optical Communication
,
Optical computing
,
Optical Fiber Copper Wire And Cable
,
optical implementation
,
Optical Microscope
,
Optical networks
,
optical processor
,
optical transmission
,
Optics Parabolic Reflector Curved Mirror
,
phase-only diffractive network
,
reverse engineered optical system
,
Software
,
Software & Algorithms
,
Software Development Tools
,
spatially-incoherent light
,
start to end optics design
,
Surgical Instrument Optical Coherence Tomography
,
three dimensional imaging
,
visual computing
,
Waferscale Processors
Category(s):
Optics & Photonics
,
Optics & Photonics > Microscopy
,
Platforms
,
Software & Algorithms > Image Processing
,
Electrical
,
Electrical > Signal Processing
,
Electrical > Computing Hardware
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
Rapid Sensing of Hidden Objects and Defects Using a Single-Pixel Diffractive Terahertz Processor (Case No. 2023-184)
Summary: UCLA researchers have developed a diffractive sensor that leverages deep-learning-optimized diffractive layers to rapidly detect hidden objects and defects within a 3D sample without scanning or image processing. Background: Inspecting hidden structures is a critical requirement in various fields, including security, manufacturing, and...
Published: 4/12/2024
|
Inventor(s):
Aydogan Ozcan
,
Jingxi Li
Keywords(s):
Deep learning-based sensing
,
Electrical
,
Electrical Engineering
,
Image Processing
,
Machine Learning
,
real-time sensing/monitoring/tracking
,
Remote Sensing
,
smart sensing
,
target detection
Category(s):
Electrical
,
Electrical > Sensors
,
Optics & Photonics > Spectroscopy
,
Software & Algorithms > Artificial Intelligence &
Machine Learning
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
Copyright: Artificial Intelligence Augmented Expressive Writing Tool (Case No. 2023-084)
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: 12/20/2023
|
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
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: 3/7/2024
|
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
Multi-Resolution Model With Attention for Whole Slide Image Analysis Trained Using Weak Labels (UCLA Case No. 2019-943)
Summary: UCLA Researchers in the Department of Radiology have developed a computer-aided diagnostic model that uses histology slides to interpret and detect prostate cancer diagnoses with high levels of accuracy. Background: In the United States, prostate cancer ranks as the most prevalent and second deadliest cancer among men. Diagnosing this...
Published: 8/16/2023
|
Inventor(s):
Corey Arnold
,
Jiayun Li
,
William Speier
Keywords(s):
Artifical Intelligence (
Machine Learning
, Data Mining)
,
Artificial Intelligence
,
Artificial Neural Network
,
Digital Health
,
Digital Holography
,
Digital immunohistology
,
Digital Pathology
,
Machine Learning
,
Magnetic Resonance Imaging Pathology
,
MRI
Category(s):
Software & Algorithms
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Artificial Intelligence &
Machine Learning
,
Diagnostic Markers
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Medical Imaging > MRI
,
Optics & Photonics
2022-258 Deep Learning-Enabled Detection and Classification of Bacterial Colonies Using a Thin Film Transistor (TFT) Image Sensor
Summary: UCLA Researchers in the Department of Electrical and Computer Engineering have developed a thin-film transistor-based image sensor that can quantify and identify bacterial colony forming units (CFUs) with high accuracy using a deep-learning algorithm. Background: Bacterial infections are a leading cause of death every year in both developed...
Published: 7/19/2023
|
Inventor(s):
Aydogan Ozcan
,
Yuzhu Li
,
Tairan Liu
Keywords(s):
Antibacterial
,
Artificial Neural Network
,
Bacteria
,
Holography
,
Machine Learning
,
Magnetic Resonance Imaging Carotid Artery Stenosis
,
Thin-Film Transistor
,
Transistor
Category(s):
Software & Algorithms
,
Life Science Research Tools
,
Life Science Research Tools > Screening Libraries
,
Materials
,
Materials > Nanotechnology
,
Materials > Semiconducting Materials
,
Life Science Research Tools > Cell Counting And Imaging
2022-237 Coding and Modulation for Short-Blocklength Communication
Summary: UCLA researchers in the department of Electrical and Computer Engineering have developed a probabilistic approach to decoding short-blocklength transmissions between devices, which is ideal for the noisy short-blocklength communication frequently used in Internet of Things (IoT) applications. Background: In telecommunication, error detection...
Published: 8/7/2023
|
Inventor(s):
Richard Wesel
,
Linfang Wang
Keywords(s):
Artifical Intelligence (
Machine Learning
, Data Mining)
,
Artificial Neural Network
,
Internet of Things (IoT)
,
Machine Learning
Category(s):
Software & Algorithms
,
Electrical
,
Electrical > Signal Processing
,
Software & Algorithms > Communication & Networking
,
Software & Algorithms > Artificial Intelligence &
Machine Learning
,
Electrical > Wireless
,
Electrical > Electronics & Semiconductors
2022-214 Machine-Learning-Based Automatic Analysis of Electrochemical Characterizations
SUMMARY: UCLA researchers in the Department of Chemistry and Biochemistry have developed a machine-learning based algorithm that identifies reaction mechanisms from cyclic voltammetry data and offers accurate interpretations of complex electrochemical data. BACKGROUND: Electrochemistry is a readily accessible and valuable tool for researchers to...
Published: 7/19/2023
|
Inventor(s):
Chong Liu
,
Quanquan Gu
,
Benjamin Hoar
,
Weitong Zhang
Keywords(s):
Algorithm
,
Instrumentation & Analysis
,
Life Science Research Tools
,
Machine Learning
,
Software & Algorithms
Category(s):
Life Science Research Tools > Research Methods
,
Electrical > Instrumentation
,
Software & Algorithms > Artificial Intelligence &
Machine Learning
,
Software & Algorithms > Programs
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