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Search Results - artificial+intelligence+algorithms
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IMARISMITCHER: Batch Processing for Imaris Stitcher (Case No. 2025-089)
Summary: Researchers in UCLA’s Department of Neurobiology have devised a novel software algorithm to significantly increase the speed of ImarisStitcher image processing, resulting in readily available, combined, aligned, high resolution microscopic images. Background: Image stitching has emerged as a solution to the unique need for a complete...
Published: 4/22/2025
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Inventor(s):
Ian Bowman
,
Mitchell Rudd
,
Hong Wei Dong
Keywords(s):
3D tissue imaging
,
3D ultrasound imaging
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence algorithms
,
artificial intelligence augmentation
,
artificial intelligence/machine learning models
,
artificial-intelligent materials
,
bioimaging
,
Cell Counting/Imaging
,
cell imaging
,
cell mapping
,
computational imaging
,
Data Acquisition
,
Data Aggregator
,
Data Analytics
,
Data Recovery
,
Data Structure
,
Fluorescence Microscope
,
histopathology images
,
Image Analysis
,
image restoration
,
image signal processing
,
Imaging
,
Magnetic Resonance Imaging
,
Medical artificial intelligence (AI)
,
Medical Imaging
,
Microscope
,
Microscopy
,
Microscopy And Imaging
,
Molecular Imaging
,
multi-contrast imaging
,
Neuroimaging
,
non-invasive imaging
,
pathology image analysis
,
Phase-Contrast Imaging
,
three dimensional imaging
,
volumetric image
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing
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
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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
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: 2/14/2025
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Inventor(s):
Maxime Cannesson
,
Sungsoo 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
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: 2/14/2025
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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