Search Results - artificial+intelligence

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An Automated False Data Injection Attack Generator for Testing and Verification of Networked Control Systems
Advantages: Automated security testing for networked control systems (NCSs), eliminating the need for manual attack scenario creation Reinforcement learning (RL)-based approach efficiently generates attack scenarios to identify vulnerabilities Proven stability using Lyapunov-based analysis, ensuring attack generation with convergence guarantees Adaptable...
Published: 4/4/2025   |   Inventor(s): Arman Sargolzaei, Farahnaz Javidi Niroumand
Keywords(s): Artificial Intelligence, Autonomous Vehicle, Cybersecurity
Category(s): Technology Classifications > Computer Science > C/S Cybersecurity, Technology Classifications > Data/AI > Cybersecurity - Data/AI
Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers
Advantages: Universal and real-time detection across image, video, and audio domains Lightweight and highly efficient, operating orders of magnitude faster than existing defenses Achieves 98% detection accuracy, significantly outperforming other methods Compatible with any Deep Neural Network (DNN) without requiring modifications Summary: Deep...
Published: 3/24/2025   |   Inventor(s): Yasin Yilmaz, Furkan Mumcu
Keywords(s): Artificial Intelligence, Cybersecurity
Category(s): Technology Classifications > Data/AI > Cybersecurity - Data/AI, Technology Classifications > Computer Science > C/S Cybersecurity
AI-Powered System for Objective Surgical Skill Assessment in Open Procedures (Case No. 2025-207)
Summary: UCLA researchers in the Department of Surgery have developed a deep-learning architecture to efficiently and accurately assess surgeon skill level for improved medical training. TITLE: AI-Powered System for Objective Surgical Skill Assessment in Open Procedures Background: Objectively assessing surgical trainee performance during open...
Published: 3/21/2025   |   Inventor(s): Peyman Benharash, Armin Alipour
Keywords(s): AI, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, deep-learning analysis algorithms, Education technology, image-guided surgery, medical bias reduction, Quality Control, Surgery, Surgical Instrument, Surgical Tools, teaching
Category(s): Life Science Research Tools > Lab Equipment, Life Science Research Tools > Research Methods, Medical Devices > Hospital Systems, Medical Devices > Monitoring And Recording Systems, Medical Devices > Surgical Tools, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Communication & Networking, Software & Algorithms > Digital Health
Event-Driven Integrate and Fire (EIF) Neuron Circuit for Neuromorphic Computing System (Case No. 2024-275)
Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed an energy efficient neuromorphic computing architecture. Background: Widespread growth in demand for artificial intelligence systems has highlighted limitations in current central processing unit (CPU) designs, particularly in terms of energy efficiency...
Published: 3/4/2025   |   Inventor(s): Mau-Chung Chang, Chao Jen Tien, Yong Hei
Keywords(s): Advanced Computing / AI, advanced computing methods, AI hardware, analog computing, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial intelligence-generated content, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial presenting cells, artificial-intelligent materials, Cloud Computing, computational efficiency, computational imaging, compute-in-memory, Computer Aided Learning, Computer Architecture, Computer Monitor, Computer Vision, CPU design, deep neural networks (DNN), Energy Density, Energy Efficiency, event-driven processing, generative artificial intelligence, latency encoding, low latency computing, low-power architecture, matrix multiplication, Medical artificial intelligence (AI), Neuromorphic computing, offline learning, online learning, spike neural networks (SNN), Supercomputer
Category(s): Electrical, Electrical > Signal Processing, Electrical > Electronics & Semiconductors, Electrical > Computing Hardware, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning
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: 2/13/2025   |   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: 2/13/2025   |   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: 3/24/2025   |   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. https://nu.technologypublisher.com/files/sites/adobestock_367338925.jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-21.jpg Source Adobe Stock By Summit Art Creations # 367338925 Background The...
Published: 1/31/2025   |   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, Technology Classifications > WIoT
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: 2/14/2025   |   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: 2/14/2025   |   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
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