Search Results - advanced+computing+%2f+ai

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A General Cation-Exchange Approach to Magnetic Intercalation Superlattices (Case No. 2025-9A1)
Summary: UCLA researchers in the Department of Chemistry have developed a general cation-exchange approach for tunable magnetic intercalation superlattices. Background: Layered materials are crucial for engineering quantum and magnetic phenomena at the atomic scale. Magnetic intercalation superlattices, a type of layered materials, enable tunable...
Published: 7/24/2025   |   Inventor(s): Xiangfeng Duan, Yu Huang, Jingxuan Zhou
Keywords(s): Advanced Computing / AI, advanced packaging, Cation exchange, doping control, Fabrication Technologies, ferromagnetic semiconductor, layered materials, magnetic coupling, magnetic intercalation superlattices, quantum communication, Quantum Computer, quantum computing materials, Quantum Dot, quantum error correction (QEC), quantum incompressible fluid, quantum key, quantum network, quantum processing, quantum processor, room-temperature superconductivity, spin textures, spintronics, trapped ion quantum processor, tunable ferromagnetism, Van der Waals, Van Der Waals Force, VIN group metals
Category(s): Materials, Materials > Nanotechnology, Materials > Functional Materials, Materials > Semiconducting Materials, Materials > Fabrication Technologies, Materials > Metals, Optics & Photonics
Subgraph Matching for High-Throughput DNA-Aptamer Secondary Structure Classification and Machine Learning Interpretability (Case No. 2025-104)
Intro Sentence: UCLA researchers in the Department of Mathematics have developed machine learning methods to rapidly identify novel aptamer sequences for target binding to accelerate highly-accurate diagnostic and therapeutic development. Background: Aptamers are single-stranded nucleotide polymers that bind with high affinity to targets such as...
Published: 7/22/2025   |   Inventor(s): Andrea Bertozzi, Anne Andrews, Matthew Tyler, Paolo Climaco, Noelle Mitchell
Keywords(s): Advanced Computing / AI, advanced computing methods, Aptamers, Artifical Intelligence (Machine Learning, Data Mining), artificial intelligence/machine learning models, bioinformatics pipeline, cancer target, clustering, computational efficiency, computational efficiency and analysis, design software, DNA clustering, DNA oligomer, DNA Sequencing, Drug, Drug Delivery, Drug Development, Drug Discovery, drug screening, high throughput, high throughput assays, high throughput testing, high-throughput analysis, High-Throughput Screening, interpretability, pipeline, large-scale parallelization, Machine Learning, machine learning modeling, motif structures, open source, open source code, OpenAI, Pharmaceutical Drug, protein classification, secondary structure, SELEX, sequences of interest, single strand DNA sequences, Software, Software & Algorithms, Software Development Tools, Software-enabled learning, subgraph matching, target binding, target detection, Targeted Therapy, Targets And Assays, tissue targeting accuracy
Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Life Science Research Tools, Life Science Research Tools > Research Methods, Life Science Research Tools > Screening Libraries, Platforms, Platforms > Drug Delivery, Diagnostic Markers > Targets And Assays, Diagnostic Markers, Software & Algorithms > Bioinformatics
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
Method of Proficient Typing Using a Limited Number of Classes (Case No. 2024-063)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel software algorithm to rapidly predict text using small keyboards for various applications, including mobile computing, gaming, and human-computer interactions. Background: Advancements in mobile computing have drastically changed everyday life...
Published: 2/14/2025   |   Inventor(s): Jonathan Kao, Shreyas Kaasyap, John Zhou, Johannes Lee, Nima Hadidi
Keywords(s): Advanced Computing / AI, advanced computing methods, all-optical diffractive computing, Artificial Neural Network, Artificial Neural Network Artificial Neuron, assistive communication, background radiation, Bandwidth (Computing), Brain computer interface, brain machine interface, Classroom management software, Cloud Computing, composite scintillators, Database management/data entry, deep physical neural network, design software, edge computing, fast scintillators, gamma spectroscopy, graph neural network, HCI (Human Computer Interaction), high-Z organometallics, Human/Brain computer interfaces (BCI/HCI), human-centered computing, material characterization, Medical science computing, mobile computing, modular robotic system, nanocomposite scintillators, neural network, neural networks, neutrino detection, Optical computing, positron emission tomography (PET), predictive text, primary school software, radiation detection, recurrent neural networks, Robotics, robotics control, scintillators, second harmonic generation, secondary school software, self-sustaining computing, soft robotics, Software, Software & Algorithms, Software Development Tools, Software-enabled learning, Spatial computing, Stochastic Computing (SC), T6 keyboard, T9 keyboard, visual computing, wafer-scale computing
Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Communication & Networking
A Uniform AI Framework for Automated Detection of Disease-Related Risk Factors in 3D Medical Imaging Data
Summary: UCLA researchers from the Departments of Anesthesiology & Perioperative Medicine, Ophthalmology, Computational Medicine, and Computer Science have developed a novel uniform framework to diagnose disease-related risk factors in any volumetric medical imaging data. Background: Automated diagnosis of medical imaging is undoubtedly important...
Published: 2/14/2025   |   Inventor(s): Oren Avram, Eran Halperin, Berkin Durmus, Nadav Rakocz, Jeffrey Chiang, Srinivas Sadda
Keywords(s): Advanced Computing / AI, AI algorithms, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Biomarker, Biomedical Engineering, Computer-Aided Design, Deep Learning, Imaging, Magnetic Resonance Imaging, Medical Imaging
Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices > Medical Imaging
2022-230 Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an all-optical diffractive network that can find applications in machine learning-related vision tasks and all-optical computing systems. Background: Optical computing is a gateway to the future, as it can revolutionize computation by making classically...
Published: 7/17/2025   |   Inventor(s): Aydogan Ozcan, Jingxi Li
Keywords(s): Advanced Computing / AI, all-optical diffractive computing, all-optical transformation, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial-intelligent materials, classification, Deep Learning, diffractive network, diffractive processor, Electrical, Electrical Engineering, Internet of Things (IoT), Machine Vision, machine vision task, multiplexing, Optical Coherence , Optical Communication , Optical Fiber Copper Wire And Cable, Optical Microscope, Optics, polarization multiplexed diffractive processor, polarization multiplexing, polarization-based machine vision tasks, polarization-encoded diffractive network
Category(s): Electrical, Electrical > Instrumentation, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Optics & Photonics, Electrical > Electronics & Semiconductors
2017-730 Reducing Computational Complexity of Training Algorithms for Artificial Neural Networks
Summary: Researchers at UCLA have developed a novel mathematical theorem to revolutionize the training of large-scale artificial neural networks (ANN). Background: Artificial neural networks (ANNs) have gained popularity in recent years due to their exceptional performance and applicability to a wide array of machine learning applications. ANNs digitally...
Published: 7/17/2025   |   Inventor(s): Khalid Youssef, Louis-Serge Bouchard
Keywords(s): Advanced Computing / AI, Life Science Research Tools, Medical Imaging, Software, Software & Algorithms
Category(s): Life Science Research Tools, Software & Algorithms, Medical Devices > Medical Imaging, Electrical > Quantum Computing, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Programs
2022-088 Neural Networks for Adipose Tissue Segmentation on Magnetic Resonance Images
Summary: UCLA researchers in the Department of Radiological Sciences have developed a novel neural network that can segment and quantify visceral and subcutaneous adipose tissues on magnetic resonance images automatically, accurately, and rapidly, to enhance clinical methods for characterizing and monitoring risk for cardiometabolic diseases in patients...
Published: 2/14/2025   |   Inventor(s): Holden Wu, Sevgi Kafali Tekat
Keywords(s): Advanced Computing / AI, Artificial Neural Network, Artificial Neural Network Artificial Neuron, cardiometabolic disease, Hypertension, Imaging, Machine Learning, Magnetic Resonance Imaging, Magnetic Resonance Imaging Pathology, Medical Imaging, MRI, multi-contrast imaging, obesity, Tissue (Biology), tissue annotation, tissue detection, tissue ribbons alignment, tissue segmentation
Category(s): Medical Devices > Medical Imaging, Platforms > Diagnostic Platform Technologies, Medical Devices > Medical Imaging > MRI, Therapeutics > Metabolism And Endocrinology
2019-985 The Simultaneous Localization and Mapping (SLAM) Algorithm Based on Online EM
SUMMARYResearchers led by Tsang-Kai Chang and Chaojie Feng from the Department at UCLA have created a scalable and real-time SLAM algorithm for autonomous robots.BACKGROUNDA mobile robot relies on the simultaneous localization and mapping (SLAM) algorithm to create a map in an unknown environment while also localizing itself in it. As robots become...
Published: 7/17/2025   |   Inventor(s): Chaojie Feng, Tsang-Kai Chang
Keywords(s): Advanced Computing / AI, Artifical Intelligence (Machine Learning, Data Mining), Computer Aided Learning, Control Systems, Robotics, Simulation & Modeling, Software, Software & Algorithms
Category(s): Mechanical > Robotics, Software & Algorithms > Programs
2019-997 Use of Machine Learning to Predict Non-Diagnostic Home Sleep Apnea Tests
SUMMARY:Researchers led by Robert Stretch from the Division of Pulmonary, Critical Care & Sleep Medicine at UCLA have developed an algorithm that can predict whether a patient will have a non-diagnostic home sleep apnea test based upon data from the electronic health record and a brief questionnaire.BACKGROUND:Obstructive sleep apnea (OSA) affects...
Published: 7/17/2025   |   Inventor(s): Robert Stretch, Michelle Zeidler, Constance Fung, Armand Ryden
Keywords(s): Advanced Computing / AI, Artifical Intelligence (Machine Learning, Data Mining), Bioinformatics, Personal Care / Home Care , Simulation & Modeling, Software, Software & Algorithms
Category(s): Medical Devices > Monitoring And Recording Systems, Platforms > Diagnostic Platform Technologies, Software & Algorithms > Data Analytics
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