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Search Results - software+%26+algorithms
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Multi-Level Scheduling and Partitioning of Reconfigurable Processor Arrays (Case No. 2026-011) Circular Elevator Style Network-on-Chip (Case No. 2026-012) and Pattern Compilation for Runtime Reconfigurable Arrays (Case No. 2026-013)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a high-speed runtime reconfigurable processor array (RTRA) that enables on-chip scheduling and rapid multi-program execution with unprecedented energy and area efficiency for dynamic computing workloads. Background: Dynamic digital signal processing...
Published: 12/11/2025
|
Inventor(s):
Dejan Markovic
,
Hong Seok Lee
,
Chenkai Ling
Keywords(s):
computational efficiency
,
computational efficiency and analysis
,
edge computing
,
energy-efficient
,
Hardware
,
high speed
,
large-area arrays
,
low latency computing
,
low-power architecture
,
Microarray
,
Microprocessor
,
processor design
,
programming
,
scalable manufacturing
,
System On A Chip
Category(s):
Electrical > Signal Processing
,
Electrical
,
Electrical > Electronics & Semiconductors
,
Software & Algorithms
,
Electrical > Computing Hardware
CDMA MIMO Readout Networks for Semiconductor-Based Compact 2-Dimensional Qubit Array (Case No. 2025-153)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel CDMA-MIMO qubit readout network that enables scalable, high-fidelity measurement of two-dimensional semiconductor qubit arrays for fault-tolerant quantum computing. Background: Qubit arrays form the foundation of complex quantum computations...
Published: 12/12/2025
|
Inventor(s):
Mau-Chung Chang
,
Jhih-Wei Chen
Keywords(s):
computational efficiency
,
computational efficiency and analysis
,
Electrical
,
Electrical Engineering
,
Electronics & Semiconductors
,
large-area arrays
,
quantum communication
,
Quantum Computer
,
quantum error correction (QEC)
,
quantum network
,
quantum processing
,
quantum processor
,
Semiconductor
,
Semiconductor Device
,
Semiconductors
Category(s):
Electrical
,
Electrical > Computing Hardware
,
Electrical > Electronics & Semiconductors
,
Electrical > Quantum Computing
,
Software & Algorithms
> Communication & Networking
,
Software & Algorithms
Monitoring Structural Health Using Diffractive Optical Processors (Case No. 2025-201)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel structural health monitoring system that is highly accurate and cost effective, addressing limitations in current infrastructure and civil health monitoring and a rise in public safety concerns. Background: The need for structural health monitoring...
Published: 12/5/2025
|
Inventor(s):
Aydogan Ozcan
,
Ertugrul Taciroglu
,
Yuntian Wang
,
Yuhang Li
Keywords(s):
3D structures
,
Adaptive Optics
,
AI-generated images and content
,
all-optical diffractive computing
,
all-optical transformation
,
analog computing
,
analog optical computing
,
Analogue Electronics
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence algorithms
,
artificial intelligence augmentation
,
artificial intelligence/machine learning models
,
artificial-intelligent materials
,
civil engineering
,
civil infrastructure
,
civil monitoring
,
computational imaging
,
computational imaging task
,
Construction
,
deep diffractive network
,
Diffraction
,
diffractive design
,
diffractive image reconstruction
,
diffractive network
,
diffractive processor
,
diffractive surface
,
digital image reconstruction
,
electromagnetic spectrum
,
Electro-Optics
,
Image Analysis
,
Image Processing
,
Image Resolution
,
image restoration
,
image signal processing
,
Imaging
,
Infrastructure
,
Lens (Optics)
,
linear optics
,
Nanostructure
,
optical processor
,
optically-guided structural monitoring
,
Optics
,
passive light-matter interactions
,
security imaging
,
Signal Reconstruction
,
Structural health monitoring
,
structural health monitoring (SHM)
,
structure monitoring
,
Structures
Category(s):
Electrical
,
Electrical > Signal Processing
,
Electrical > Imaging
,
Materials
,
Materials > Construction Materials
,
Electrical > Visual Computing
,
Electrical > Computing Hardware
,
Electrical > Instrumentation
,
Energy & Environment
,
Energy & Environment > Energy Efficiency
,
Software & Algorithms
,
Software & Algorithms
> Artificial Intelligence & Machine Learning
,
Software & Algorithms
> Image Processing
,
Software & Algorithms
> Programs
RSA-Wearable Alertness Detecting Device (Case No. 2025-245)
Summary: UCLA researchers from the Department of Medicine-Pulmonary Disease have developed a novel wearable device to detect alertness and predict the onset of sleep for improved safety. Background: Hypersomnia and excessive daytime sleepiness (EDS) are both symptoms of a broad class of sleeping disorders including obstructive sleep apnea (OSA),...
Published: 12/1/2025
|
Inventor(s):
Ravi Aysola
Keywords(s):
Biomonitoring
,
Computer Monitor
,
continuous sleep monitoring
,
CPAP
,
Gene Block
,
non-invasive monitoring
,
patient outcome
,
Philips
,
public health monitoring
,
remote monitoring
,
remote patient analysis
,
remote patient monitoring (RPM)
,
Remote Sensing
,
sleep apnea
,
sleep monitoring
,
sleep monitoring and health
,
wearable
,
wearable electronics
,
wearable medical device
,
wearable medical devices
,
wearable sensors
,
wearable sensors for health
Category(s):
Medical Devices
,
Medical Devices > Monitoring And Recording Systems
,
Medical Devices > Hospital Systems
,
Electrical
,
Electrical > Sensors
,
Electrical > Flexible Electronics
,
Platforms
,
Software & Algorithms
,
Software & Algorithms
> Digital Health
,
Software & Algorithms
> Data Analytics
Copyright: Locally Low-Rank Image Denoising for Multi-Coil Multi-Contrast Magnetic Resonance Imaging (Case No. 2025-056)
Summary: UCLA researchers have developed a software algorithm for locally low-rank denoising that improves image quality and diagnostic reliability in multi-coil, multi-contrast MRI by correcting complex noise and preserving fine image details. Background: Magnetic resonance imaging (MRI) is a powerful, non-invasive tool widely used in both research...
Published: 12/1/2025
|
Inventor(s):
Shu-Fu Shih
,
Holden Wu
Keywords(s):
3D tissue imaging
,
AI-guided medical imaging
,
Biomedical Engineering
,
Cardiac MRI
,
Cine MRI
,
Deep learning MRI
,
DENSE MRI
,
Imaging
,
Magnetic Resonance Imaging
,
Magnetic Resonance Imaging Carotid Artery Stenosis
,
Magnetic Resonance Imaging Hypoxia (Medical)
,
Magnetic Resonance Imaging Medical Physics
,
Magnetic Resonance Imaging Microangiopathy
,
Magnetic Resonance Imaging Pathology
,
Magnetic Resonance Imaging Spin Polarization
,
Medical artificial intelligence (AI)
,
Medical Device
,
Medical Devices and Materials
,
Medical diagnostics
,
Medical Imaging
,
MRI
,
multiparametric MRI (mpMRI)
,
radial MRI
Category(s):
Electrical > Imaging
,
Electrical > Signal Processing
,
Life Science Research Tools > Research Methods
,
Medical Devices > Medical Imaging
,
Medical Devices > Medical Imaging > MRI
,
Software & Algorithms
> Image Processing
,
Software & Algorithms
Method and Apparatus for Improving the Signal-To-Noise Ratio in Multi-Dimensional Magnetic Resonance Imaging Data (Case No. 2025-204)
Summary: UCLA researchers have developed a software-based denoising method that makes cardiac MRI images clearer and more reliable, enabling more accurate heart function measurements without requiring longer scan times. Background: Cardiac MRI is a powerful imaging tool for assessing heart health because it can provide detailed pictures of how the...
Published: 11/13/2025
|
Inventor(s):
Xiaodong Zhong
,
Shu-Fu Shih
,
Holden Wu
,
Kim-Lien Nguyen
Keywords(s):
2D ultrasound imaging
,
3D tissue imaging
,
3D ultrasound imaging
,
AI-guided medical imaging
,
AI-guided medical intervention
,
bioimaging
,
Biologic Medical Product
,
Biomedical Engineering
,
Cardiac Magnetic Resonance Imaging
,
Image Analysis
,
Imaging
,
Magnetic Resonance Imaging
,
Magnetic Resonance Imaging Carotid Artery Stenosis
,
Magnetic Resonance Imaging Hypoxia (Medical)
,
Magnetic Resonance Imaging Medical Physics
,
Magnetic Resonance Imaging Microangiopathy
,
Magnetic Resonance Imaging Pathology
,
Magnetic Resonance Imaging Spin Polarization
,
Magnetic Resonance Imaging Unmanned Aerial Vehicle
,
Medical artificial intelligence (AI)
,
Medical Device
,
medical device cardiac monitoring
,
Medical Devices and Materials
,
Medical diagnostics
,
Medical Imaging
Category(s):
Medical Devices > Cardiac
,
Medical Devices > Medical Imaging
,
Medical Devices > Medical Imaging > MRI
,
Software & Algorithms
> Image Processing
,
Software & Algorithms
Aerodynamics-Informed Design Optimization of Vehicles with Machine Learning (Case No. 2025-083)
Intro Sentence: UCLA researchers from the Department of Mechanical and Aerospace Engineering have developed a machine-learning–guided aerodynamic optimization framework that accelerates the design of electric vehicles by coupling high-fidelity simulations with data-driven shape prediction. Background: Electric vehicle (EV) technologies have...
Published: 11/5/2025
|
Inventor(s):
Kunihiko Taira
,
Jonathan Tran
,
Kai Fukami
,
Daisuke Umehara
,
Kenta Inada
,
Yoshimichi Ono
,
Kenta Ogawa
Keywords(s):
Category(s):
Software & Algorithms
,
Software & Algorithms
> AI Algorithms
,
Software & Algorithms
> Artificial Intelligence & Machine Learning
,
Materials
,
Materials > Functional Materials
,
Energy & Environment
Prototype Software for Neuron-Centric Memory Architecture in AI (Case Nos. 2025-327/328)
Summary: Researchers at UCLA’s Department of Integrative Biology & Physiology and Neurobiology have pioneered the first prototype of a novel, neuron-centric AI architecture featuring intracellular memory and adaptive computation capabilities, designed to enhance deep learning performance and efficiency. Background: Deep learning leverages...
Published: 12/10/2025
|
Inventor(s):
Alain Glanzman
,
David Glanzman
Keywords(s):
Artifical Intelligence (Machine Learning, Data Mining)
,
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-intelligent materials
,
generative artificial intelligence
,
Medical artificial intelligence (AI)
,
Neuron
,
neurons
,
Software
,
Software & Algorithms
,
Software Development Tools
,
Software-enabled learning
Category(s):
Software & Algorithms
,
Software & Algorithms
> AI Algorithms
,
Software & Algorithms
> Artificial Intelligence & Machine Learning
,
Electrical
,
Electrical > Computing Hardware
Method for Reducing Process Variation-Induced Threshold Voltage Mismatch in FD-SOI Transistors (Case No. 2025-271)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a transistor-level method that dynamically tunes device characteristics to eliminate mismatch, achieving higher stability and precision without added area or power costs. Background: Transistors are the fundamental semiconductor building blocks for amplification,...
Published: 10/23/2025
|
Inventor(s):
Subramanian Iyer
,
Siyun Qiao
,
Jacklyn Zhu
,
Samuel Wang
Keywords(s):
device stability
,
Electronics & Semiconductors
,
frequency modulation
,
Integrated Circuit
,
Integrated Circuit Via (Electronics)
,
Microelectronics Semiconductor Device Fabrication
,
Mixed-Signal Integrated Circuit
,
Semiconductor
,
Semiconductor Device
,
Semiconductor Device Fabrication
,
Semiconductors
,
Signal Processing
,
Silicon
,
Transistor
,
transistors
Category(s):
Electrical
,
Electrical > Signal Processing
,
Electrical > Instrumentation
,
Electrical > Electronics & Semiconductors
,
Software & Algorithms
,
Software & Algorithms
> Communication & Networking
Direct Carrier Fractional Frequency Synthesizer Using a DiCAD-Based Digital-To-Phase Modulator (Case No. 2025-9AA)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a low-noise, DiCAD-based fractional frequency synthesis system that enables fine frequency resolution and enhanced signal stability for millimeter-wave applications. Background: Millimeter-wave (mmW) communication and radar systems demand carrier frequency...
Published: 10/16/2025
|
Inventor(s):
Mau-Chung Chang
,
Christopher Chen
,
Adrian Tang
,
Jia Zhou
Keywords(s):
5G
,
Automotive
,
Bandwidth (Signal Processing)
,
Communications Satellite
,
efficiency bandwidth products
,
electrically-mediated sensing
,
Extremely High Frequency
,
Frequency conversion
,
frequency modulation
,
high frequency electronics
,
high-frequency signals
,
high-speed communications
,
Imaging
,
millimeter-wave
,
Millimeterwave network
,
Quantum Computer
,
Radar
,
satellite imaging
,
Signal-To-Noise Ratio
,
Telecommunication
Category(s):
Electrical
,
Electrical > Signal Processing
,
Software & Algorithms
> Communication & Networking
,
Electrical > Electronics & Semiconductors > Circuits
,
Software & Algorithms
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