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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 | 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

2022-252 Fourier Imager Network (FIN): A Deep Neural Network for Hologram Reconstruction with Superior External Generalization

Summary: UCLA researchers in the department of Electrical Engineering have developed a deep learning approach that is capable of performing image reconstruction from raw holograms, which proves to be faster and superior at reconstruction as well as generalizable to new data. Background: Holographic imaging provides significant advantages over standard...

Published: 7/17/2025 | Inventor(s): Aydogan Ozcan, Hanlong Chen, Luzhe Huang

Keywords(s): Holography, Image Processing, Imaging, Machine Learning, Optical Tomography, Optics, Transformer

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Electrical > Imaging, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics