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Search Results - all-optical+diffractive+computing
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Giant Second-Harmonic Generation in Bulk Monolayer MoS2 Thin Films (Case No. 2024-186)
Summary: UCLA researchers in the department of Chemistry and Biochemistry have developed a method to control electron density in molybdenum disulfide (MoS2) thin films that can be used to improve optical material characteristics. Background: Second harmonic generation (SHG) is an optical process in which light interacts with a nonlinear material...
Published: 11/19/2024
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Inventor(s):
Xiangfeng Duan
,
Yu Huang
,
Boxuan Zhou
Keywords(s):
Adaptive Optics
,
Algorithm Optical Coherence Tomography
,
all-optical diffractive computing
,
all-optical transformation
,
Atomic Force Microscopy Optical Tweezers
,
bulk monolayer
,
Composite Material
,
Composite Materials
,
Dispersion (Optics)
,
Electro-Optics
,
Focus (Optics)
,
Functional Materials
,
Infrared Electromagnetic Spectrum Dispersion (Optics)
,
linear optics
,
material characterization
,
Materials
,
molybdenum disulfide (MOS2)
,
monolayer
,
Nanomaterials
,
Near-Field Scanning Optical Microscope
,
nonlinear dynamics
,
Nonlinear Optics
,
non-linear optics
,
Nonlinear Optics Molecular Dynamics
,
Optical Coherence
,
Optical Communication
,
Optical computing
,
optical implementation
,
Optical networks
,
optical processor
,
optical transmission
,
Optics Parabolic Reflector Curved Mirror
,
Optoelectronic materials
,
reverse engineered optical system
,
second harmonic generation
,
start to end optics design
,
Surgical Instrument Optical Coherence Tomography
Category(s):
Materials
,
Materials > Functional Materials
,
Optics & Photonics
,
Chemical
,
Chemical > Instrumentation & Analysis
Method of Proficient Typing Using a Limited Number of Classes (Case No. 2024-063)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel software algorithm to rapidly predict text using small keyboards for various applications, including mobile computing, gaming, and human-computer interactions. Background: Advancements in mobile computing have drastically changed everyday life...
Published: 11/6/2024
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Inventor(s):
Jonathan Kao
,
Shreyas Kaasyap
,
John Zhou
,
Johannes Lee
,
Nima Hadidi
Keywords(s):
Advanced Computing / AI
,
advanced computing methods
,
all-optical diffractive computing
,
Artificial Neural Network
,
Artificial Neural Network Artificial Neuron
,
assistive communication
,
background radiation
,
Bandwidth (Computing)
,
Brain computer interface
,
brain machine interface
,
Classroom management software
,
Cloud Computing
,
composite scintillators
,
Database management/data entry
,
deep physical neural network
,
design software
,
edge computing
,
fast scintillators
,
gamma spectroscopy
,
graph neural network
,
HCI (Human Computer Interaction)
,
high-Z organometallics
,
Human/Brain computer interfaces (BCI/HCI)
,
human-centered computing
,
material characterization
,
Medical science computing
,
mobile computing
,
modular robotic system
,
nanocomposite scintillators
,
neural network
,
neural networks
,
neutrino detection
,
Optical computing
,
positron emission tomography (PET)
,
predictive text
,
primary school software
,
radiation detection
,
recurrent neural networks
,
Robotics
,
robotics control
,
scintillators
,
second harmonic generation
,
secondary school software
,
self-sustaining computing
,
soft robotics
,
Software
,
Software & Algorithms
,
Software Development Tools
,
Software-enabled learning
,
Spatial computing
,
Stochastic Computing (SC)
,
T6 keyboard
,
T9 keyboard
,
visual computing
,
wafer-scale computing
Category(s):
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Communication & Networking
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
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