Search Results - machine+learning

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Weight-Agnostic Federated Neural Architecture Search
Federated learning (FL) is envisaged to be a promising solution for collaboratively training a machine learning model while keeping the training data decentralized and private. For example, in FL, different participants might have different samples of data from different classes. Some participants might have no samples from some of the subclasses...
Published: 10/29/2024   |   Inventor(s): Rida Bazzi, Om Thakkar
Keywords(s): Algorithm Development, Machine Learning, PS-Computing and Information Technology
Category(s): Computing & Information Technology, Physical Science, Artificial Intelligence/Machine Learning
Cyber-Physical Interaction Aware Test Case Generation to Identify Operational Changes
Present day autonomous systems are cyber-physical systems (CPS) that involve multi-dimensional interaction between the cyber machine and the operational environment. One of the key aspects of these autonomous systems is that interaction patterns change over the lifetime of usage. Changes in CPS interaction patterns can be unintentional or intentional...
Published: 10/28/2024   |   Inventor(s): Sandeep Gupta, Aranyak Maity, Ayan Banerjee, Imane Lamrani
Keywords(s): Algorithm Development, Inspection, Machine Learning, PS-Computing and Information Technology, Test
Category(s): Computing & Information Technology, Physical Science, Artificial Intelligence/Machine Learning
Machine Learning for High-Fidelity 3D-Printed Organ Models in Surgery
Machine Learning Enabled Design and Optimization for 3D-Printing of High-Fidelity Presurgical Organ Models Unmet Need: A better 3D printed presurgical organ model Presurgical organ models enable students and surgeons to practice new or difficult techniques prior to ever setting foot in an operating room. However, the practice experience is most beneficial...
Published: 10/22/2024   |   Inventor(s): Kaiyan Qiu, Venkata Janardhan Rao Doppa
Keywords(s): 3D printing, Bayesian Optimization, Machine Learning, Presurgical Organ Models
Category(s): Technologies > Health & Well-being > Medical Devices
Copyright: Large Language Models for Electronic Health Records (Case No. 2024-216)
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
Independent Audit and Assessment Framework for AI Systems
AI systems are increasingly being used in critical applications where safety and reliability are paramount such as health care, autonomous driving, and financial services. Numerous AI systems operate as “black boxes,” meaning a system that processes inputs and produces outputs without revealing how it reaches its conclusions. This makes...
Published: 9/19/2024   |   Inventor(s): Siddharth Srivastava, Pulkit Verma
Keywords(s): Algorithm Development, Artificial Intelligence, Machine Learning, PS-Computing and Information Technology, Risk Assessment
Category(s): Computing & Information Technology, Physical Science
Enhancing Fairness Through Aleatoric Uncertainty
Background In recent years, advancements in machine learning have revolutionized various domains, but concerns about bias and unfairness in automated decision-making systems have gained significant attention. One of the causes of unfairness in AI systems is the reliance on training data. Aleatoric uncertainty refers to the inherent randomness or variability...
Published: 8/7/2024   |   Inventor(s): Anique Tahir, Lu Cheng, Huan Liu
Keywords(s): Artificial Intelligence, Machine Learning
Category(s): Physical Science, Computing & Information Technology, Intelligence & Security
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
Radio Frequency-Based Gesture Recognition Technique for Human Computer Systems
Background Touchless interaction systems have grown in prevalence in recent years, including gesture-based interaction systems. Gesture recognition forms an integral part of human-computer interaction (HCI) technologies that deal with recognizing various movements of the human body, and interpreting them as commands to interact with a machine. Hand...
Published: 7/31/2024   |   Inventor(s): Georgios Trichopoulos, Bharath Kashyap
Keywords(s): Cyber-Physical System, Electronics, Machine Learning, Medical Device, Mobile Biometrics, Physical Human-Robot Interaction, Rehabilitation Robotics, Sensors, Videogames, Virtual Environment Interaction, Wearable biosensors and apps
Category(s): Physical Science, Wireless & Networking, Computing & Information Technology, Applied Technologies
SEM-O-RAN: Semantic NextG O-RAN Slicing for Data-Driven Edge-Assisted Mobile Applications
SEM-O-RAN uses O-RAN architecture and semantic compression to offload ML tasks to the edge, optimizing network resources and reducing latency. Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-16.jpg Background The exponential growth in the number of connected devices and the increasingly...
Published: 10/15/2024   |   Inventor(s): Corrado Puligheddu, Francesco Restuccia, Carla Fabiana Chiasserini
Keywords(s): 5G and beyond, 5G Networks, 6G, Deep learning, Machine Learning, Mobile devices, O-RAN, Semantics, Software-defined Networks
Category(s): Technology Classifications > 3. Computer Science, Technology Classifications > WIoT
Methods for reliable classification of wireless signals
This technology uses AI and neural networks for real-time wireless signal classification, enhancing detection accuracy and compensating for channel distortions by manipulating the waveform before transmission. https://nu.testtechnologypublisher.com/files/sites/mark-saulich-12.jpg Background: The constant evolution of networking systems...
Published: 9/10/2024   |   Inventor(s): Salvatore D'Oro, Tommaso Melodia, Francesco Restuccia
Keywords(s): Deep Reinforcement Learning, Machine Learning, wireless signals
Category(s): Technology Classifications > 3. Computer Science > Network communications, Technology Classifications > 3. Computer Science
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