Search Results - analog+computing

6 Results Sort By:
Accurate Compute-In-Memory Accelerator With Multi-Level Analog Weight Storage (Case No. 2026-169)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a high-density, multi-level CTT-based compute-in-memory architecture that enables precise, energy-efficient analog computation directly within memory for high-performance computing. Background: Conventional digital processors for artificial intelligence...
Published: 6/3/2026   |   Updated: 6/3/2026   |   Inventor(s): Sudhakar Pamarti, Mohammadreza Zeinali, Samyak Chakrabarty, Vinod Kurian Jacob
Keywords(s): Advanced Computing / AI, advanced computing methods, AI, AI hardware, analog computing, Artificial Intelligence, artificial intelligence accelerators, Artificial Neural Network, CMOS, compute-in-memory, edge computing, Energy Efficiency, high-performance computing, Memory, parallel computing, Transistor, transistors
Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical, Electrical > Computing Hardware, Electrical > Electronics & Semiconductors, Electrical > Electronics & Semiconductors > Circuits, Electrical > Electronics & Semiconductors > Memory
Calibration of Analog Multi-Bit Storage Elements Without Off-Chip Components (Case No. 2026-167)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a scalable, energy-efficient technique for high-precision threshold voltage tuning and verification in charge trap transistor arrays using low-overhead on-chip measurement. Background: Charge trap transistors (CTTs) enable non-volatile analog multi-bit...
Published: 6/3/2026   |   Updated: 6/3/2026   |   Inventor(s): Sudhakar Pamarti, Mohammadreza Zeinali
Keywords(s): analog computing, CMOS, compute-in-memory, Electrical, Electrical Engineering, Integrated Circuit, large-area arrays, low latency computing, Memory, Network Analysis (Electrical Circuits), Neuromorphic circuits, programming, pulsed load modulation, scalable fabrication, soft electrical circuits
Category(s): Electrical, Electrical > Computing Hardware, Energy & Environment, Energy & Environment > Energy Efficiency, Electrical > Electronics & Semiconductors > Circuits, Electrical > Electronics & Semiconductors
Transformer-Based High-Density, Efficient Power Delivery Architecture for Wafer-Scale Integrated Systems (Case No. 2026-075)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a transformer-based, high-density power delivery architecture that enables efficient, scalable, and low-loss energy distribution for next-generation wafer-scale and chiplet-based systems. Background: Chiplet-based and wafer-scale integrated systems demand...
Published: 5/15/2026   |   Updated: 5/15/2026   |   Inventor(s): Subramanian Iyer, Goutham Ezhilarasu, Namkang Lee
Keywords(s): analog computing, Artificial Intelligence, Electrical, energy-efficient, high power electronics, high-performance computing, large-area arrays, power conversion efficiency, Power distribution & grids, Power Electronics, Power Transmission, scalable fabrication, Transformer, wafer-scale, wafer-scale computing, Waferscale Processors
Category(s): Electrical, Electrical > Electronics & Semiconductors, Electrical > Electronics & Semiconductors > Waferscale Computing, Energy & Environment > Energy Efficiency, Energy & Environment
Monitoring Structural Health Using Diffractive Optical Processors (Case No. 2025-201)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel structural health monitoring system that is highly accurate and cost effective, addressing limitations in current infrastructure and civil health monitoring and a rise in public safety concerns. Background: The need for structural health monitoring...
Published: 12/5/2025   |   Updated: 12/5/2025   |   Inventor(s): Aydogan Ozcan, Ertugrul Taciroglu, Yuntian Wang, Yuhang Li
Keywords(s): 3D structures, Adaptive Optics, AI-generated images and content, all-optical diffractive computing, all-optical transformation, analog computing, analog optical computing, Analogue Electronics, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial-intelligent materials, civil engineering, civil infrastructure, civil monitoring, computational imaging, computational imaging task, Construction, deep diffractive network, Diffraction, diffractive design, diffractive image reconstruction, diffractive network, diffractive processor, diffractive surface, digital image reconstruction, electromagnetic spectrum, Electro-Optics, Image Analysis, Image Processing, Image Resolution, image restoration, image signal processing, Imaging, Infrastructure, Lens (Optics), linear optics, Nanostructure, optical processor, optically-guided structural monitoring, Optics, passive light-matter interactions, security imaging, Signal Reconstruction, Structural health monitoring, structural health monitoring (SHM), structure monitoring, Structures
Category(s): Electrical, Electrical > Signal Processing, Electrical > Imaging, Materials, Materials > Construction Materials, Electrical > Visual Computing, Electrical > Computing Hardware, Electrical > Instrumentation, Energy & Environment, Energy & Environment > Energy Efficiency, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Software & Algorithms > Programs
Compliant Mechanisms That Perform Mathematical Operations via Analog Computing (Case No. 2025-230)
Summary: UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed a fully compliant mechanism that performs mathematical operations using analog computing. Background: Mechanical computers rely on the relative motion of physical bodies to perform computations, rather than electronic signals, as electrical computers...
Published: 11/18/2025   |   Updated: 10/7/2025   |   Inventor(s): Jonathan Hopkins, Pietro Sainaghi, Alexander Tsao, Zhidi Yang
Keywords(s): Advanced Computing / AI, Aerospace, Aerospace Engineering, analog computing, analog optical computing, computational efficiency, feature space, low latency computing, space compatible inks, Space Shuttle, Spacecraft
Category(s): Mechanical, Mechanical > Aeronautics & Aerospace, Mechanical > Instrumentation, Mechanical > Mechanical Systems, Mechanical > Micro-Electromechanical Systems (Mems), Mechanical > Sensors, Materials, Materials > Functional Materials
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