Search Results - low-power+architecture

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A Dual-Mode Coil-Reuse Data Acquisition System for Miniaturized Wirelessly Powered Biopotential Sensing Nodes (Case No. 2024-173)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a dual-mode, batteryless coil-reuse system for biosensing devices that enables efficient wireless power transfer and long-range data transmission in a compact form. Background: A vast majority of wearable and implantable medical devices require two wireless...

Published: 4/23/2025 | Inventor(s): Aydin Babakhani, Hamid Jafarisharemi

Keywords(s): Antennas/Wireless, battery-less, battery-less IoT, Bioelectromagnetics, bioelectronics, Bioinformatics, bioinformatics pipeline, Biomedical Engineering, biomedical implantation, biomedical sensors, Biomonitoring, Biosensor, Cardiac failure, coil design, Data Acquisition, Data Analytics, Electrical stimulation, electrochemical sensors, implantable sensors, low-power architecture, low-power device, medical device cardiac monitoring, Medical Devices and Materials, node architecture, non-invasive cardiac monitoring, radiofrequency (RF) coil, radiofrequency signaling, Rechargeable Battery, self-powered wireless sensor solutions, Sensor, Sensors, Smart Antenna, soft electrical circuits, wearable, wearable electronics, wearable medical device, wearable medical devices, wearable sensors

Category(s): Electrical, Electrical > Flexible Electronics, Electrical > Sensors, Electrical > Wireless, Medical Devices, Medical Devices > Monitoring And Recording Systems

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