Search Results - deep+neural+networks+(dnn)

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Deep Learning-Enhanced Dual-Mode Multiplexed Optical Sensor for Point-Of-Care Diagnostics of Cardiovascular Diseases (Case No. 2026-178)
Summary: UCLA researchers in the Departments of Electrical and Computer Engineering and Bioengineering have developed a deep-learning-enhanced multiplexed optical biosensing platform that enables rapid, high sensitivity point-of-care quantification of multiple cardiac biomarkers for cardiovascular diagnostics. Background: Rapid and accessible cardiac...
Published: 3/24/2026   |   Updated: 3/24/2026   |   Inventor(s): Aydogan Ozcan, Dino Di Carlo, Gyeo-Re Han, Artem Goncharov, Merve Eryilmaz
Keywords(s): Biomarker, biomarkers, Cardiovascular, Cardiovascular Disease, cardiovascular diseases, cardiovascular monitoring, cardiovascular therapeutic solution, Deep Learning, Deep learning-based sensing, deep neural networks (DNN), neural network, neural networks, Optics, Point Of Care, point-of-care, point-of-care testing
Category(s): Electrical, Optics & Photonics, Diagnostic Markers, Medical Devices > Cardiac, Medical Devices
AI-Based Wearable Sensor for Dermatology (Case No. 2025-301)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a flexible, cost-effective, AI-enabled wearable sensor that facilitates early, non-invasive diagnosis of allergic contact dermatitis. Background: Allergic contact dermatitis (ACD) is a hypersensitivity reaction of the skin triggered by direct contact...
Published: 3/11/2026   |   Updated: 8/25/2025   |   Inventor(s): Aydogan Ozcan, Shannon Wongvibulson, Paloma Casteleiro Costa, Gyeo-Re Han, Yuzhu Li
Keywords(s): Artificial Intelligence, artificial intelligence augmentation, artificial intelligence/machine learning models, Artificial Neural Network, artificial-intelligent materials, Computer-Aided Diagnosis, deep neural networks (DNN), Dermatology, electrochemical sensors, Medical artificial intelligence (AI), Signal Processing, Signal-To-Noise Ratio, Skin, skin protection, wearable, wearable electronics, wearable medical device, wearable medical devices, wearable sensors, wearable sensors for health
Category(s): Electrical, Electrical > Flexible Electronics, Electrical > Sensors, Medical Devices > Monitoring And Recording Systems, Therapeutics > Dermatology, Diagnostic Markers
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: 11/18/2025   |   Updated: 2/4/2025   |   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