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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
Copyright: Machine Learning-Assisted Design of High Power Laser Systems (Case No. 2024-067)
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
2022-230 Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an all-optical diffractive network that can find applications in machine learning-related vision tasks and all-optical computing systems. Background: Optical computing is a gateway to the future, as it can revolutionize computation by making classically...
Published: 8/21/2023
|
Inventor(s):
Aydogan Ozcan
,
Jingxi Li
Keywords(s):
Advanced Computing / AI
,
all-optical diffractive computing
,
all-optical transformation
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial-intelligent materials
,
classification
,
Deep Learning
,
diffractive network
,
diffractive processor
,
Electrical
,
Electrical Engineering
,
Internet of Things (IoT)
,
Machine Vision
,
machine vision task
,
multiplexing
,
Optical Coherence
,
Optical Communication
,
Optical Fiber Copper Wire And Cable
,
Optical Microscope
,
Optics
,
polarization multiplexed diffractive processor
,
polarization multiplexing
,
polarization-based machine vision tasks
,
polarization-encoded diffractive network
Category(s):
Electrical
,
Electrical > Instrumentation
,
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Data Analytics
,
Optics & Photonics
,
Electrical > Electronics & Semiconductors
2021-349-2 A METHOD FOR RECORDING OF TERAHERTZ WAVEFORMS
SUMMARY: UCLA researchers in the department of Electrical Engineering have developed a method for recording of terahertz waveforms which can be used for both sensing and communication in the terahertz spectrum. BACKGROUND: Terahertz waves are part of the electromagnetic spectrum between infrared and microwaves. In optical sensing, infrared waves...
Published: 7/19/2023
|
Inventor(s):
Bahram Jalali
,
Tianwei Jiang
Keywords(s):
Analytical Chemistry
,
Communication & Networking
,
Extremely High Frequency
,
Optical Communication
,
Remote Sensing
,
Waveform
Category(s):
Electrical > Imaging
,
Electrical > Sensors
,
Electrical > Signal Processing
,
Software & Algorithms > Communication & Networking
,
Software & Algorithms > Security & Privacy
,
Electrical > Wireless > Antennas
,
Electrical > Electronics & Semiconductors