Search Results - electrical+%3e+computing+hardware

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Efficient Stochastic Compute-In-Memory Circuit for Multi-Level or Accumulation (Case No. 2024-122)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel computational hardware that combines stochastic computing with compute-in-memory techniques that improves speed and computational efficiency. Background: In recent years, the need for advanced computational technologies has surged, driven by...
Published: 7/8/2024   |   Inventor(s): Sudhakar Pamarti, Jiyue Yang, Soumitra Pal, Puneet Gupta, Tianmu Li, Wojciech Romaszkan
Keywords(s): computational efficiency, Computer Architecture, Integrated Circuit, Logic Gate, neural network, Stochastic Computing (SC)
Category(s): Electrical > Computing Hardware, Electrical > Electronics & Semiconductors > Circuits
A New ADC Architecture (Case No. 2023-276)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel analog-digital conversion (ADC) Architecture that achieves high-speed, high-resolution signal conversion with reduced power consumption and increased linearity. Background: High-speed, high-resolution analog-digital converters (ADCs) are what...
Published: 9/16/2024   |   Inventor(s): Utkarsh Sharma, Behzad Razavi
Keywords(s): Computer Architecture, Consumer Electronics, Digital Electronics, Digital Signal Processing, Integrated Circuit, processor design, quantum communication, Quantum Computer, Quantum Dot, quantum error correction (QEC), quantum incompressible fluid, quantum key, quantum network, quantum processing, quantum processor, Signal Processing, trapped ion quantum processor
Category(s): Electrical > Signal Processing, Electrical > Computing Hardware
Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors (Case No. 2023-192)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel platform technology to facilitate the design of all-optical visual processors, which can be used to perform advanced computational tasks at the speed of light. Background: Information processing via light is a cutting-edge field among optics...
Published: 4/5/2024   |   Inventor(s): Aydogan Ozcan, MD Sadman Rahman, Xilin Yang
Keywords(s): Adaptive Optics, Algorithm Optical Coherence Tomography, all-optical diffractive computing, all-optical transformation, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Atomic Force Microscopy Optical Tweezers, computational imaging, deep diffractive network, Deep Learning, Deep learning-based sensing, diffractive processor, Dispersion (Optics), Electron Microscope, Electro-Optics, fluorescence microscopy, Focus (Optics), Infrared Electromagnetic Spectrum Dispersion (Optics), interference processor, large language model (LLNMs), linear optics, linear transformations, Machine Learning, Microscope, Microscopy, Microscopy And Imaging, Near-Field Scanning Optical Microscope, neural networks, Nonlinear Optics, non-linear optics, Optical Coherence , Optical Communication , Optical computing, Optical Fiber Copper Wire And Cable, optical implementation, Optical Microscope, Optical networks, optical processor, optical transmission, Optics Parabolic Reflector Curved Mirror, phase-only diffractive network, reverse engineered optical system, Software, Software & Algorithms, Software Development Tools, spatially-incoherent light, start to end optics design, Surgical Instrument Optical Coherence Tomography, three dimensional imaging, visual computing, Waferscale Processors
Category(s): Optics & Photonics, Optics & Photonics > Microscopy, Platforms, Software & Algorithms > Image Processing, Electrical, Electrical > Signal Processing, Electrical > Computing Hardware