Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Tait Alexander N."'
Publikováno v:
Nanophotonics, Vol 12, Iss 5, Pp 833-845 (2023)
Emerging neuromorphic hardware promises to solve certain problems faster and with higher energy efficiency than traditional computing by using physical processes that take place at the device level as the computational primitives in neural networks.
Externí odkaz:
https://doaj.org/article/0b30916a2ad44462aef930f2ff953bf5
Autor:
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.
Publikováno v:
Nanophotonics, Vol 11, Iss 17, Pp 3805-3822 (2022)
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 w
Externí odkaz:
https://doaj.org/article/cbf3bf7a16c84203922a924d8b39c276
Autor:
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.
Publikováno v:
Nanophotonics, Vol 9, Iss 13, Pp 4055-4073 (2020)
Microelectronic computers have encountered challenges in meeting all of today’s demands for information processing. Meeting these demands will require the development of unconventional computers employing alternative processing models and new devic
Externí odkaz:
https://doaj.org/article/3b6f4416228740bd8d098767b133457f
Autor:
Morison, Hugh, Singh, Jagmeet, Kayed, Nayem Al, Aadhi, A., Moridsadat, Maryam, Tamura, Marcus, Tait, Alexander N., Shastri, Bhavin J.
Advances in silicon photonics technology have enabled the field of neuromorphic photonics, where analog neuron-like processing elements are implemented in silicon photonics technology. Accurate and scalable simulation tools for photonic integrated ci
Externí odkaz:
http://arxiv.org/abs/2401.12942
Autor:
Ferreira de Lima Thomas, Shastri Bhavin J., Tait Alexander N., Nahmias Mitchell A., Prucnal Paul R.
Publikováno v:
Nanophotonics, Vol 6, Iss 3, Pp 577-599 (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 the one-size-fits-all solution of digital electronics is becoming a limiting factor in ce
Externí odkaz:
https://doaj.org/article/a15c872daa364120bf13c3212c1a1ec0
Autor:
Khan, Saeed, Primavera, Bryce A., Chiles, Jeff, McCaughan, Adam N., Buckley, Sonia M., Tait, Alexander N., Lita, Adriana, Biesecker, John, Fox, Anna, Olaya, David, Mirin, Richard P., Nam, Sae Woo, Shainline, Jeffrey M.
Superconducting optoelectronic hardware is being explored as a path towards artificial spiking neural networks with unprecedented scales of complexity and computational ability. Such hardware combines integrated-photonic components for few-photon, li
Externí odkaz:
http://arxiv.org/abs/2204.09665
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:
Huang, Chaoran, Fujisawa, Shinsuke, de Lima, Thomas Ferreira, Tait, Alexander N., Blow, Eric C., Tian, Yue, Bilodeau, Simon, Jha, Aashu, Yaman, F atih, Peng, Hsuan-Tung, Batshon, Hussam G., Shastri, Bhavin J., Inada, Yoshihisa, Wang, Ting, Prucnal, Paul R.
In optical communication systems, fibre nonlinearity is the major obstacle in increasing the transmission capacity. Typically, digital signal processing techniques and hardware are used to deal with optical communication signals, but increasing speed
Externí odkaz:
http://arxiv.org/abs/2110.12833
Autor:
Tait, Alexander N.
Publikováno v:
Physical Review Applied, 2022
Due to challenging efficiency limits facing conventional and unconventional electronic architectures, information processors based on photonics have attracted renewed interest. Research communities have yet to settle on definitive techniques to descr
Externí odkaz:
http://arxiv.org/abs/2108.04819
Autor:
Huang, Chaoran, Sorger, Volker J., Miscuglio, Mario, Al-Qadasi, Mohammed, Mukherjee, Avilash, Shekhar, Sudip, Chrostowski, Lukas, Lampe, Lutz, Nichols, Mitchell, Fok, Mable P., Brunner, Daniel, Tait, Alexander N., de Lima, Thomas Ferreira, Marquez, Bicky A., Prucnal, Paul R., Shastri, Bhavin J.
Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing. Software implementations of neural networks on conventional computers that have separate memory and processor (and that operate
Externí odkaz:
http://arxiv.org/abs/2105.09943