Search Results - artificial+intelligence

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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: 8/1/2024   |   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
Faster and Accurate Neural Networks with Semantic Inference
SINF intelligently clusters inputs to selectively engage DNN subgraphs, reducing computational load while maintaining high accuracy. Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-21.jpg Background The deployment of Deep Neural Networks in real-world applications faces significant challenges...
Published: 9/10/2024   |   Inventor(s): Francesco Restuccia, Jonathan Ashdown, A Q M Sazzad Sayyed
Keywords(s): Artificial intelligence, computer vision and deep learning, Efficient computing
Category(s): Technology Classifications > 3. Computer Science
A Method and System for Pre-processing Medical Images (Case No. 2024-177)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel pre-processing computer algorithm for automated medical imaging. Background: The integration of machine learning and artificial intelligence into medical imaging applications offers significant potential to automate the diagnosis of various...
Published: 7/23/2024   |   Inventor(s): Bahram Jalali, Callen MacPhee, Yiming Zhou, Koichiro Kishima
Keywords(s): 3D ultrasound imaging, Artificial Intelligence, bioimaging, Computer Vision, histopathology images, Machine Learning, Medical Imaging, MRI, X-Ray
Category(s): Diagnostic Markers > Cancer, Diagnostic Markers > Immunology, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing
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: 7/23/2024   |   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
Multi-Modal Sensing Platform for Diagnosing Depression and Schizophrenia
Application A multi-sense deep learning platform and interview protocol used for detection and assessment of depression and schizophrenia. Key Benefits Automated and remote mental illness assessment without the need for self-reporting or clinical observation. Improved disease tracking for patients and clinicians. A more objective classifier and...
Published: 7/30/2024   |   Inventor(s): Gari Clifford, Robert Cotes, Mina Boazak, Zifan Jiang, Seyed Salman Seyedi, Ali Bahrami Rad
Keywords(s): Artificial Intelligence, Neuroscience/Pain
Category(s): TechPub Algolia > Software, TechPub Algolia > Diagnostics
Smart Mosquito Trap For Mosquito Classification
­Advantages: Automates mosquito identification, reducing manual inspection efforts. Provides immediate species data, aiding timely mosquito control decisions. Integrates AI for proactive surveillance and targeted management strategies. Summary: Current methods of identifying mosquitoes trapped for research or control purposes are labor-intensive...
Published: 9/20/2024   |   Inventor(s): Sriram Chellappan, Stephen Saddow, Brandon Wolfram
Keywords(s): Artificial Intelligence, Environmental Sciences
Category(s): Technology Classifications > Medical > Biomedical Engineering, Technology Classifications > Medical > Biotechnology, Technology Classifications > Medical > Medical Devices, Technology Classifications > Data/AI > D/AI Imaging
AI-Driven Magnetic Respiratory Sensor for Real-Time Monitoring of Respiratory Diseases Like COVID-19
­Advantages: An AI-assisted contactless device that measures a patient’s breathing pattern and provides early and rapid detection of COVID-19 respiratory symptoms, in under 5 minutes. The ultrahigh sensitivity enables real-time monitoring of abnormal variations in a patient’s breath across multiple stages of disease. The portable...
Published: 7/15/2024   |   Inventor(s): Manh-Huong Phan, Kee Young Hwang, Valery Ortiz Jimenez, Baleeswaraiah Muchharla
Keywords(s): Artificial Intelligence, Medical Diagnostics, Respiratory Diseases
Category(s): Technology Classifications > Medical > Medical Diagnostics, Technology Classifications > Medical > Respiratory
Methods and Techniques to Classify Stages in the Gonotrophic Cycle of Mosquitoes from Images using Computer Vision Techniques
­Advantages: Enables rapid and accurate identification of mosquito gonotrophic stages, enhancing disease surveillance efforts effectively. Reduces the need for extensive entomological expertise, making mosquito monitoring more accessible and efficient. Facilitates integration with citizen-science platforms, empowering community involvement...
Published: 5/23/2024   |   Inventor(s): Sriram Chellappan, Farhat Azam, Ryan Carney, Sherzod Kariev
Keywords(s): Artificial Intelligence, Infectious Diseases, Predictive Analytics
Category(s): Technology Classifications > Medical > Infectious Diseases, Technology Classifications > Data/AI > D/AI Imaging, Technology Classifications > Computer Science > Algorithms
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