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Augmented/Virtual Reality Technology Portfolio

Enhanced Eyebox Expansion for Maxwellian View AR Displays (Case No. 2024-163) Augmented reality (AR) waveguide displays have revolutionized the way users can interact with virtual content overlaid in the real world. High quality, responsive AR systems have diverse applications that can revolutionize industries ranging from education, healthcare, industrial...

Published: 11/4/2024 | Inventor(s):

Keywords(s): Augmented Reality, augmented reality (AR), Extended reality, Mixed Reality, Virtual Reality, Virtual Reality Braille Haptic Technology Joule Heating, Virtual Reality Occupational Therapy Exercise Machine

Category(s): Software & Algorithms, Software & Algorithms > Ar/Vr, Electrical, Electrical > Signal Processing, Electrical > Displays

AI-Powered Technology for Safe and Smart Charging of Li-Ion Batteries (Case No. 2024-209)

Summary: Researchers in the UCLA Department of Chemical and Biomolecular Engineering have developed a new battery management system to improve lithium-ion battery lifetimes. Background: Lithium-ion (Li-ion) batteries are crucial for powering many modern devices, from smartphones to electric vehicles due to their high energy density, long life cycle,...

Published: 10/15/2024 | Inventor(s): Yuzhang Li, Jiayi Yu, Aki Takahashi

Keywords(s):

Category(s): Materials, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Energy & Environment, Energy & Environment > Energy Storage, Energy & Environment > Energy Storage > Batteries, Electrical, Electrical > Sensors

Intro Sentence: UCLA researchers from the Department of Computational Medicine have developed a novel model for tabulating electronic health records. Background: Electronic Health Records (EHR) provide healthcare systems with insights into health histories. Machine learning models have been developed to use EHR for inference tasks based on specific...

Published: 9/6/2024 | Inventor(s): Jeffrey Chiang, Simon Lee

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), clinical decision support, EHR, EHR integration, electronic health records (EHR), Hospital Systems And Devices, lab results analysis, large language model (LLNMs), Machine Learning, machine learning modeling, patient questionnaire, personalized medicine, predictive analytics, specialist referral

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Software & Algorithms > Programs, Medical Devices, Medical Devices > Hospital Systems

Comprehensive and Individualized Menopause Care Delivery Protocol With Technological Decision Support Aid (Case No. 2024-193)

Summary: Researchers in the UCLA Department of Obstetrics and Gynecology have developed a new clinical decision support system for improved menopause care. Background: Each year, approximately 1.3 million women in the United States enter menopause. This is often accompanied by symptoms such as hot flashes, mood changes, and sleep issues. In addition,...

Published: 10/2/2024 | Inventor(s): Rajita Patil, Erica Oberman, Brittany Davis, Rhonda Voskuhl, Kathleen Van Dyk, Ravi Aysola, Louise Dixon De Silva, Karol Watson, Lua Jafari, Julie Bernthal, Rashmi Mullur, Albert Shieh, Elizabeth Ko, Katie Hu, Aashini Master, Kelly Mccann, Kelsey Collins, Katherine Unverferth, Tamara Grisales, Amy Rosenman, Andrea Rapkin

Keywords(s): clinical care methodology, clinical decision support, EHR, EHR integration, electronic health records (EHR), FemTech, femtech medical device, lab results analysis, medical bias reduction, Menopause, menopause management, patient questionnaire, period, personalized medicine, predictive analytics, specialist referral, women’s health

Category(s): Software & Algorithms, Software & Algorithms > Programs, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > FemTech

MEDREX (Case No. 2024-244)

Summary: UCLA researchers have developed a new software package to reconcile medication lists between different electronic health records. Background: Reconciliation is a crucial process that ensures patients’ medication lists are accurate. This process is especially important for patients with memory impairments, who may be more vulnerable...

Published: 10/18/2024 | Inventor(s): Li Zhou, Richard Korf, Cindy Liu, Edmond Wen, Advaith Gowrishetty, Jonathan Xu, Nicole Ju

Keywords(s): Software, Software & Algorithms, Software Development Tools, Software-enabled learning

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Programs, Software & Algorithms > Data Analytics

Artificial Neural Network Train-Time Poison Defense via Energy-Based Model Dynamics Sampling (Case No. 2024-199)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel preprocessing algorithm to purify imperceptibly poisoned training datasets that may lead to misclassification and maintain image quality. Background: Large datasets are important for the effectiveness of machine learning models, serving as the...

Published: 9/30/2024 | Inventor(s): Gregory Pottie, Omead Pooladzandi, Sunay Bhat, Jeffrey Jiang

Keywords(s): AI algorithms, Algorithm, Artificial Intelligence, artificial intelligence augmentation, Automation, Autonomous driving, Big Data, Computer Aided Learning, Data Corruption, Digital Health, Machine Learning, Machine Learning Autonomous Car Gradient Descent

Category(s): Software & Algorithms, Platforms > Diagnostic Platform Technologies, Therapeutics > Radiology, Medical Devices > Monitoring And Recording Systems, Medical Devices > Neural Stimulation, Mechanical > Sensors

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: 9/3/2024 | Inventor(s): Maxime Cannesson, Sungsoo (Danny) 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: 9/27/2024 | 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

Low-Latency Trellis Decoder (Case No. 2024-171)

Summary: UCLA researchers have developed a new algorithm to rapidly decode transmitted data packets with low latency. Background: Convolutional codes (CCs) are used extensively in wireless communication systems to improve data transmission reliability over noisy signals. CCs must be decoded following transmission to be accurately interpreted by receiving...

Published: 10/22/2024 | Inventor(s): Richard Wesel, Amaael Antonini, Wenhui Sui

Keywords(s): AI algorithms, Algorithm, assistive communication, Cloud Computing, Communication & Networking, Communications Satellite, Convolutional codes, decoders, decoding algorithm, digital networks, energy-efficient wireless communication, graphics processing units, high-speed communications, IoT communication, low latency computing, Optical networks, parallel computing, quantum communication, scalable communication, signal decoding, Software & Algorithms, tail-biting convolutional codes, Telecommunication, trellis decoding, trellis diagrams, Viterbi Algorithm, wireless communication

Category(s): Electrical, Electrical > Signal Processing, Software & Algorithms, Software & Algorithms > Communication & Networking

Dual List Decoding (Case No. 2024-172)

Summary: UCLA researchers have developed a parallel list decoding algorithm to rapidly improve wireless communication data processing. Reference: Dual List Decoding (Case No. 2024-172) Background: Convolutional codes (CCs) are used extensively in wireless communication systems to improve data transmission reliability over noisy signals. During...

Published: 10/21/2024 | Inventor(s): Richard Wesel, Zihan Qu, Amaael Antonini, Wenhui Sui

Keywords(s):

Category(s): Software & Algorithms, Software & Algorithms > Communication & Networking

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