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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
|
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
Full Spectrum Computer Vision for Photon Counting CT (Case No. 2024-058)
Summary: Researchers in the Department of Radiological Sciences have developed a machine learning algorithm that processes multispectral photon counting CT data for accurate medical imaging. Background: Photon counting computed tomography (PCCT) is a tremendous engineering advancement, enabling high resolution spectral imaging with myriad applications....
Published: 9/20/2024
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Inventor(s):
Matthew Brown
,
Dieter Enzmann
,
John Hoffman
,
Michael Mcnitt-Gray
Keywords(s):
AI algorithms
,
Algorithm
,
Algorithm Optical Coherence Tomography
,
algorithmic cancer detection
,
Artifical Intelligence (Machine Learning, Data Mining)
,
artificial electromagnetic materials
,
Artificial Intelligence
,
artificial intelligence augmentation
,
Artificial Neural Network
,
Artificial Neural Network Artificial Neuron
,
artificial-intelligent materials
,
Big Data
,
Bladder Cancer
,
blood cancers
,
Brain cancer
,
Breast Cancer
,
Cancer
,
cancer antigen
,
cancer detection
,
Cancer Immunotherapy
,
Cancer stem cells
,
cancer target
,
Computed tomography
,
CT
,
Deep Learning
,
design software
,
Digital Pathology
,
generative artificial intelligence
,
Genetic Algorithm
,
Histopathological image analysis
,
Histopathology
,
histopathology images
,
hyperparameter optimization
,
Image Analysis
,
Image Processing
,
lympathic cancers
,
lymphatic cancer
,
Medical artificial intelligence (AI)
,
Mesenchymal Stem Cell Derived Cancer Cells
,
Orthotopic cancer models
,
Pancreatic cancer
,
pathology image analysis
,
Photon counting computed tomography (PCCT)
,
prostate cancer
,
Radiology
,
Radiology / Radiomitigation
,
Software
,
Software & Algorithms
,
Software Development Tools
,
Software-enabled learning
Category(s):
Software & Algorithms
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Data Analytics
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: 8/20/2024
|
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