Search Results - corrado+puligheddu

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OffloaDNN: Shaping DNNs for Scalable Offloading of Computer Vision Tasks at the Edge
OffloaDNN enhances mobile CV task execution by optimizing DNN layers, reducing memory use by 82.5%, and increasing task handling by 26.9% Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-23.jpg Background: The computational demands of deep neural networks (DNNs) for computer vision (CV)...
Published: 9/10/2024   |   Inventor(s): Francesco Restuccia, Tanzil Hassan, Carla Fabiana Chiasserini, Corrado Puligheddu, Nancy Varshney
Keywords(s): Computational Offloading, Edge devices, Resource allocation
Category(s): Technology Classifications > 3. Computer Science
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: 9/10/2024   |   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
PMU-Embedded Analytics for Online Event Detection and Classification in Power Grids
The energy requirement of the world is increasing exponentially every year. With the power demand sites concentrated in the region with the highest population density, energy production sites must be located remotely. This isolation requires lengthy and complicated grids to be designed and manufactured to transmit power over long distances. Grid failures...
Published: 7/30/2024   |   Inventor(s): Payman Dehghanian, Shiyuan Wang, Li Li
Keywords(s):  
Category(s): Technology Classifications > Industrial or Consumer Tech > Energy Infrastructure and Environment
2018-003 Deep-Learning Accelerator and Analog Neuromorphic Computation with CMOS-Compatible Charge-Trap-Transistor (CTT) Technique
SUMMARYUCLA researchers from the Department of Electrical Engineering have invented a charge trap transistor based computing architecture for neural networks applications.BACKGROUNDDeep neural networks have wide applications in industries such as machine vision, voice recognition and artificial intelligence- all of which are billion dollar markets growing...
Published: 7/19/2023   |   Inventor(s): Yuan Du, Li Du, Mau-Chung Frank Chang
Keywords(s): Advanced Computing / AI, Electronics & Semiconductors
Category(s): Electrical > Electronics & Semiconductors, Electrical > Quantum Computing
Grouping Algorithm for Touchscreen Finger Position Detection (Case No. 2016-520)
Case 2016-520UCLA researchers in the Department of Electrical Engineering developed a new grouping algorithm for touchscreen finger position detection.BACKGROUNDTouchscreen technology plays an important role in the booming mobile devices market. Conventional touchscreens are designed with both horizontal and vertical electrodes. When these sensors are...
Published: 9/10/2024   |   Inventor(s): Mau-Chung Frank Chang, Chunchen Liu, Li Du, Yan Zhang
Keywords(s): Software & Algorithms
Category(s): Software & Algorithms, Software & Algorithms > Programs
2018-004 An Efficient Architecture to Compute Sparse Neural Network
SUMMARYUCLA researchers in the Department of Electrical Engineering have developed a novel hardware architecture for computing sparse neural networks.BACKGROUNDSparse neural networks (SNNs, or a neural network in which most matrices’ entries are zeros), are used to reduce the number of matrix coefficients, leading to more efficient storage and...
Published: 7/19/2023   |   Inventor(s): Mau-Chung Frank Chang, Li Du, Yuan Du
Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Communication & Networking, Computer Aided Learning, Software & Algorithms
Category(s): Software & Algorithms, Software & Algorithms > Data Analytics, Software & Algorithms > Artificial Intelligence & Machine Learning
Distributed Feedback Fiber Laser Pumped by Multimode Diode Lasers
Researchers at the University of Arizona College of Optical Sciences and Canada's Carleton University recently succeeded in fabricating high reflectivity (>99%) Fiber Bragg Gratings (FBGs) into phosphate glass fibers using UV light and a phase mask technique. With this new manufacturing technique, fiber lasers can be created as single monolithic...
Published: 4/3/2023   |   Inventor(s): Nasser Peyghambarian, Axel Schülzgen, Li Li, Jacques Albert
Keywords(s):  
Category(s): Technology Classifications > Imaging & Optics, Technology Classifications > Imaging & Optics > Lasers & Other Sources
All-Fiber Multicore Fiber Laser Devices
Researchers at the University of Arizona have developed a compact, power-scalable, alignment-free fiber laser that takes a new approach to stabilizing phase-locked operation of multi-core fiber lasers by completely removing all free space optical components. This high-brightness, all-fiber laser package uses passive optical fiber spliced at both ends...
Published: 4/3/2023   |   Inventor(s): Nasser Peyghambarian, Axel Schülzgen, Li Li
Keywords(s):  
Category(s): Technology Classifications > Imaging & Optics, Technology Classifications > Imaging & Optics > Fiber Optics, Technology Classifications > Imaging & Optics > Lasers & Other Sources