Zobrazeno 1 - 10
of 570
pro vyhledávání: '"Prucnal, Paul R"'
Autor:
Lam, Sean, Khaled, Ahmed, Bilodeau, Simon, Marquez, Bicky A., Prucnal, Paul R., Chrostowski, Lukas, Shastri, Bhavin J., Shekhar, Sudip
Artificial intelligence (AI) has seen remarkable advancements across various domains, including natural language processing, computer vision, autonomous vehicles, and biology. However, the rapid expansion of AI technologies has escalated the demand f
Externí odkaz:
http://arxiv.org/abs/2401.16515
Autor:
Xu, Tengji, Zhang, Weipeng, Zhang, Jiawei, Luo, Zeyu, Xiao, Qiarong, Wang, Benshan, Luo, Mingcheng, Xu, Xingyuan, Shastri, Bhavin J., Prucnal, Paul R., Huang, Chaoran
Integrated photonic neural networks (PNNs) are at the forefront of AI computing, leveraging on light's unique properties, such as large bandwidth, low latency, and potentially low power consumption. Nevertheless, the integrated optical components wit
Externí odkaz:
http://arxiv.org/abs/2401.08180
Autor:
Zhang, Weipeng, Lederman, Joshua C., de Lima, Thomas Ferreira, Zhang, Jiawei, Bilodeau, Simon, Hudson, Leila, Tait, Alexander, Shastri, Bhavin J., Prucnal, Paul R.
Radio-frequency interference is a growing concern as wireless technology advances, with potentially life-threatening consequences like interference between radar altimeters and 5G cellular networks. Mobile transceivers mix signals with varying ratios
Externí odkaz:
http://arxiv.org/abs/2306.14727
Autor:
Lederman, Joshua C., Zhang, Weipeng, de Lima, Thomas Ferreira, Blow, Eric C., Bilodeau, Simon, Shastri, Bhavin J., Prucnal, Paul R.
Publikováno v:
Nature Communications 14, 8197 (2023)
Multiple-input multiple-output (MIMO) mmWave devices broadcast multiple spatially-separated data streams simultaneously in order to increase data transfer rates. Data transfer can, however, be compromised by interference. Conventional techniques for
Externí odkaz:
http://arxiv.org/abs/2305.05528
Autor:
Hejda, Matěj, Doris, Eli A., Bilodeau, Simon, Robertson, Joshua, Owen-Newns, Dafydd, Shastri, Bhavin J., Prucnal, Paul R., Hurtado, Antonio
Publikováno v:
Neuromorph. Comput. Eng. 4 (2024) 024011
Spiking neurons and neural networks constitute a fundamental building block for brain-inspired computing, which is posed to benefit significantly from photonic hardware implementations. In this work, we experimentally investigate an interconnected sy
Externí odkaz:
http://arxiv.org/abs/2305.00788
DSP (digital signal processing) has been widely applied in optical communication systems to mitigate signal distortions and has become one of the key technologies that have sustained data traffic growth over the past decade. However, the strict energ
Externí odkaz:
http://arxiv.org/abs/2210.00930
Autor:
de Lima, Thomas Ferreira, 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.
Neuromorphic photonic processors based on resonator weight banks are an emerging candidate technology for enabling modern artificial intelligence (AI) in high speed, analog systems. These purpose-built analog devices implement vector multiplications
Externí odkaz:
http://arxiv.org/abs/2203.01792
Autor:
Jha, Aashu, Huang, Chaoran, deLima, Thomas Ferriera, Peng, Hsuan-Tung, Shastri, Bhavin, Prucnal, Paul R.
The bandwidth and energy demands of neural networks has spurred tremendous interest in developing novel neuromorphic hardware, including photonic integrated circuits. Although an optical waveguide can accommodate hundreds of channels with THz bandwid
Externí odkaz:
http://arxiv.org/abs/2203.01128
The field of mimicking the structure of the brain on a chip is experiencing interest driven by the demand for machine intelligent applications. However, the power consumption and available performance of machine-learning (ML) accelerating hardware st
Externí odkaz:
http://arxiv.org/abs/2112.12844