Search Results - "Prucnal, Paul R"

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  1. 1

    Photonics for artificial intelligence and neuromorphic computing by Shastri, Bhavin J., Tait, Alexander N., Ferreira de Lima, T., Pernice, Wolfram H. P., Bhaskaran, Harish, Wright, C. D., Prucnal, Paul R.

    Published in Nature photonics (01-02-2021)
    “…Research in photonic computing has flourished due to the proliferation of optoelectronic components on photonic integration platforms. Photonic integrated…”
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  2. 2

    Neuromorphic photonic networks using silicon photonic weight banks by Tait, Alexander N., de Lima, Thomas Ferreira, Zhou, Ellen, Wu, Allie X., Nahmias, Mitchell A., Shastri, Bhavin J., Prucnal, Paul R.

    Published in Scientific reports (07-08-2017)
    “…Photonic systems for high-performance information processing have attracted renewed interest. Neuromorphic silicon photonics has the potential to integrate…”
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  3. 3

    Photonic Multiply-Accumulate Operations for Neural Networks by Nahmias, Mitchell A., de Lima, Thomas Ferreira, Tait, Alexander N., Peng, Hsuan-Tung, Shastri, Bhavin J., Prucnal, Paul R.

    “…It has long been known that photonic communication can alleviate the data movement bottlenecks that plague conventional microelectronic processors. More…”
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  4. 4

    Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs) by Bangari, Viraj, Marquez, Bicky A., Miller, Heidi, Tait, Alexander N., Nahmias, Mitchell A., de Lima, Thomas Ferreira, Peng, Hsuan-Tung, Prucnal, Paul R., Shastri, Bhavin J.

    “…Convolutional Neural Networks (CNNs) are powerful and highly ubiquitous tools for extracting features from large datasets for applications such as computer…”
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  5. 5

    Feedback control for microring weight banks by Tait, Alexander N, Jayatilleka, Hasitha, De Lima, Thomas Ferreira, Ma, Philip Y, Nahmias, Mitchell A, Shastri, Bhavin J, Shekhar, Sudip, Chrostowski, Lukas, Prucnal, Paul R

    Published in Optics express (01-10-2018)
    “…Microring weight banks present novel opportunities for reconfigurable, high-performance analog signal processing in photonics. Controlling microring filter…”
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  6. 6

    A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing by Nahmias, M. A., Shastri, B. J., Tait, A. N., Prucnal, P. R.

    “…We propose an original design for a neuron-inspired photonic computational primitive for a large-scale, ultrafast cognitive computing platform. The laser…”
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  7. 7

    Progress in neuromorphic photonics by Ferreira de Lima, Thomas, Shastri, Bhavin J., Tait, Alexander N., Nahmias, Mitchell A., Prucnal, Paul R.

    Published in Nanophotonics (Berlin, Germany) (11-03-2017)
    “…As society’s appetite for information continues to grow, so does our need to process this information with increasing speed and versatility. Many believe that…”
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  9. 9

    Real-time photonic blind interference cancellation by Lederman, Joshua C., Zhang, Weipeng, de Lima, Thomas Ferreira, Blow, Eric C., Bilodeau, Simon, Shastri, Bhavin J., Prucnal, Paul R.

    Published in Nature communications (11-12-2023)
    “…mmWave devices can broadcast multiple spatially-separated data streams simultaneously in order to increase data transfer rates. Data transfer can, however, be…”
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  10. 10

    A system-on-chip microwave photonic processor solves dynamic RF interference in real time with picosecond latency by Zhang, Weipeng, Lederman, Joshua C., Ferreira de Lima, Thomas, Zhang, Jiawei, Bilodeau, Simon, Hudson, Leila, Tait, Alexander, Shastri, Bhavin J., Prucnal, Paul R.

    Published in Light, science & applications (09-01-2024)
    “…Radio-frequency interference is a growing concern as wireless technology advances, with potentially life-threatening consequences like interference between…”
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  11. 11

    Optical Signal Processing and Stealth Transmission for Privacy by Ben Wu, Shastri, Bhavin J., Mittal, Prateek, Tait, Alexander N., Prucnal, Paul R.

    “…Optical encryption, key generation, and optical stealth transmission techniques for protecting the privacy of communication in optical networks are proposed…”
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  12. 12

    Simple nonlinear interferometer-based all-optical thresholder and its applications for optical CDMA by Kravtsov, Konstantin, Prucnal, Paul R, Bubnov, Mikhail M

    Published in Optics express (01-10-2007)
    “…We present an experimental demonstration of an ultrafast all-optical thresholder based on a nonlinear Sagnac interferometer. The proposed design is intended…”
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  13. 13

    Primer on silicon neuromorphic photonic processors: architecture and compiler by Ferreira de Lima, Thomas, Tait, Alexander N., Mehrabian, Armin, Nahmias, Mitchell A., Huang, Chaoran, Peng, Hsuan-Tung, Marquez, Bicky A., Miscuglio, Mario, El-Ghazawi, Tarek, Sorger, Volker J., Shastri, Bhavin J., Prucnal, Paul R.

    Published in Nanophotonics (Berlin, Germany) (01-10-2020)
    “…Microelectronic computers have encountered challenges in meeting all of today’s demands for information processing. Meeting these demands will require the…”
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  14. 14

    Design automation of photonic resonator weights by Ferreira de Lima, Thomas, Doris, Eli A., Bilodeau, Simon, Zhang, Weipeng, Jha, Aashu, Peng, Hsuan-Tung, Blow, Eric C., Huang, Chaoran, Tait, Alexander N., Shastri, Bhavin J., Prucnal, Paul R.

    Published in Nanophotonics (Berlin, Germany) (02-09-2022)
    “…Neuromorphic photonic processors based on resonator weight banks are an emerging candidate technology for enabling modern artificial intelligence (AI) in high…”
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  15. 15

    Optical spike amplitude weighting and neuromimetic rate coding using a joint VCSEL-MRR neuromorphic photonic system by Hejda, Matěj, Doris, Eli A, Bilodeau, Simon, Robertson, Joshua, Owen-Newns, Dafydd, Shastri, Bhavin J, Prucnal, Paul R, Hurtado, Antonio

    Published in Neuromorphic computing and engineering (01-06-2024)
    “…Abstract Spiking neurons and neural networks constitute a fundamental building block for brain-inspired computing, which is poised to benefit significantly…”
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  16. 16

    Radio‐Frequency Linear Analysis and Optimization of Silicon Photonic Neural Networks by Blow, Eric C., Bilodeau, Simon, Zhang, Weipeng, Ferreira de Lima, Thomas, Lederman, Joshua C., Shastri, Bhavin, Prucnal, Paul R.

    Published in Advanced photonics research (01-08-2024)
    “…Broadband analog signal processors utilizing silicon photonics have demonstrated a significant impact in numerous application spaces, offering unprecedented…”
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  17. 17

    Broadcast and Weight: An Integrated Network For Scalable Photonic Spike Processing by Tait, Alexander N., Nahmias, Mitchell A., Shastri, Bhavin J., Prucnal, Paul R.

    Published in Journal of lightwave technology (01-11-2014)
    “…We propose an on-chip optical architecture to support massive parallel communication among high-performance spiking laser neurons. Designs for a network…”
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  18. 18

    Scalable Wideband Principal Component Analysis via Microwave Photonics by Ferreira de Lima, Thomas, Tait, Alexander N., Nahmias, Mitchell A., Shastri, Bhavin J., Prucnal, Paul R.

    Published in IEEE photonics journal (01-04-2016)
    “…Microwave photonics (MWP) provides advantages in bandwidth performance and fan-in scalability that are far superior to electronic counterparts. Processing of…”
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  19. 19

    Machine Learning With Neuromorphic Photonics by de Lima, Thomas Ferreira, Peng, Hsuan-Tung, Tait, Alexander N., Nahmias, Mitchell A., Miller, Heidi B., Shastri, Bhavin J., Prucnal, Paul R.

    Published in Journal of lightwave technology (01-03-2019)
    “…Neuromorphic photonics has experienced a recent surge of interest over the last few years, promising orders of magnitude improvements in both speed and energy…”
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  20. 20

    Photonic Spiking Neural Networks and Graphene-on-Silicon Spiking Neurons by Jha, Aashu, Huang, Chaoran, Peng, Hsuan-Tung, Shastri, Bhavin, Prucnal, Paul R.

    Published in Journal of lightwave technology (01-05-2022)
    “…Spiking neural networks are known to be superior over artificial neural networks for their computational power efficiency and noise robustness. The benefits of…”
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