Search Results - "Tait, Alexander N"

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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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  8. 8
  9. 9

    Design of a monolithic silicon-on-insulator resonator spiking neuron by Tamura, Marcus, Morison, Hugh, Tait, Alexander N., Shastri, Bhavin J.

    Published in Communications physics (10-09-2024)
    “…Increasingly, artificial intelligent systems look to neuromorphic photonics for its speed and its low loss, high bandwidth interconnects. Silicon photonics has…”
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  10. 10

    Photonic online learning: a perspective by Buckley, Sonia Mary, Tait, Alexander N., McCaughan, Adam N., Shastri, Bhavin J.

    Published in Nanophotonics (Berlin, Germany) (01-03-2023)
    “…Emerging neuromorphic hardware promises to solve certain problems faster and with higher energy efficiency than traditional computing by using physical…”
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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

    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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  13. 13

    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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  14. 14

    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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  15. 15

    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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  16. 16

    The Silicon-Based XOI Wafer: The Most General Electronics-Photonics Platform for Computing, Sensing, and Communications by Soref, Richard, Shastri, Bhavin J., Tait, Alexander N.

    “…This paper proposes that the 300-mm-diameter silicon wafer coated with a thin insulator layer, which becomes a buried layer, is the most general and most…”
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  17. 17

    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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  18. 18

    Spike processing with a graphene excitable laser by Shastri, Bhavin J., Nahmias, Mitchell A., Tait, Alexander N., Rodriguez, Alejandro W., Wu, Ben, Prucnal, Paul R.

    Published in Scientific reports (12-01-2016)
    “…Novel materials and devices in photonics have the potential to revolutionize optical information processing, beyond conventional binary-logic approaches. Laser…”
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  19. 19

    Neuromorphic photonics with electro-absorption modulators by George, Jonathan K, Mehrabian, Armin, Amin, Rubab, Meng, Jiawei, de Lima, Thomas Ferreira, Tait, Alexander N, Shastri, Bhavin J, El-Ghazawi, Tarek, Prucnal, Paul R, Sorger, Volker J

    Published in Optics express (18-02-2019)
    “…Photonic neural networks benefit from both the high-channel capacity and the wave nature of light acting as an effective weighting mechanism through linear…”
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  20. 20

    Demonstration of WDM weighted addition for principal component analysis by Tait, Alexander N, Chang, John, Shastri, Bhavin J, Nahmias, Mitchell A, Prucnal, Paul R

    Published in Optics express (18-05-2015)
    “…We consider an optical technique for performing tunable weighted addition using wavelength-division multiplexed (WDM) inputs, the enabling function of a…”
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