Zobrazeno 1 - 10
of 297
pro vyhledávání: '"A. N. Tait"'
Autor:
R. Amin, J. K. George, S. Sun, T. Ferreira de Lima, A. N. Tait, J. B. Khurgin, M. Miscuglio, B. J. Shastri, P. R. Prucnal, T. El-Ghazawi, V. J. Sorger
Publikováno v:
APL Materials, Vol 7, Iss 8, Pp 081112-081112-11 (2019)
Recently, integrated optics has become a functional platform for implementing machine learning algorithms and, in particular, neural networks. Photonic integrated circuits can straightforwardly perform vector-matrix multiplications with high efficien
Externí odkaz:
https://doaj.org/article/dfed78a23ca147afbeed2fdba70e9f72
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-7 (2024)
Abstract Increasingly, artificial intelligent systems look to neuromorphic photonics for its speed and its low loss, high bandwidth interconnects. Silicon photonics has shown promise to enable the creation of large scale neural networks. Here, we pro
Externí odkaz:
https://doaj.org/article/c68f8e88b0ef43bc8e5939466f8c7c86
Autor:
Varsha G. Vimalananda, Jolie B. Wormwood, Kailyn E. Sitter, B. Graeme Fincke, Shirley Qian, Maya N. Tait, Mark Meterko
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background The COVID-19 pandemic required that our research team change our mail-only (MO) strategy for a research survey to a strategy more manageable by staff working remotely. We used a modified web-push approach (MWP), in which patients
Externí odkaz:
https://doaj.org/article/4067408b73e0402cac79d11c86962fec
Autor:
Chaoran Huang, Volker J. Sorger, Mario Miscuglio, Mohammed Al-Qadasi, Avilash Mukherjee, Lutz Lampe, Mitchell Nichols, Alexander N. Tait, Thomas Ferreira de Lima, Bicky A. Marquez, Jiahui Wang, Lukas Chrostowski, Mable P. Fok, Daniel Brunner, Shanhui Fan, Sudip Shekhar, Paul R. Prucnal, Bhavin J. Shastri
Publikováno v:
Advances in Physics: X, Vol 7, Iss 1 (2022)
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:
https://doaj.org/article/b3c47388277c4f63929bcfe87ddd1369
Publikováno v:
Engineering Proceedings, Vol 28, Iss 1, p 16 (2022)
It is well established that the climate impact of aircraft non-CO2 emissions can be reduced by optimising flight routes to avoid climate-sensitive areas. Little research has been conducted, however, on the effect of residual emissions from nearby air
Externí odkaz:
https://doaj.org/article/1110b6dcdcc64b0c9f8922486fe60472
Autor:
M. Anwar H. Khan, Joel Brierley, Kieran N. Tait, Steve Bullock, Dudley E. Shallcross, Mark H. Lowenberg
Publikováno v:
Atmosphere, Vol 13, Iss 10, p 1660 (2022)
A kerosene fuelled aircraft was modelled within a performance tool and fuel burn and the emissions of nitrogen oxides (NOx) and water vapour at different stages of flight throughout the mission were estimated. Adaptions were made to engine and aircra
Externí odkaz:
https://doaj.org/article/929dac2e29bf416487fe2ab36921f617
Autor:
Kieran N. Tait, Mohammad Anwar H. Khan, Steve Bullock, Mark H. Lowenberg, Dudley E. Shallcross
Publikováno v:
Aerospace, Vol 9, Iss 7, p 355 (2022)
Non-CO2 aircraft emissions are responsible for the majority of aviation’s climate impact, however their precise effect is largely dependent on the environmental conditions of the ambient air in which they are released. Investigating the principal c
Externí odkaz:
https://doaj.org/article/8bd9cd034e9940198deb9db24cd26e1c
Publikováno v:
IEEE Journal of Selected Topics in Quantum Electronics. 29:1-8
Publikováno v:
Nanophotonics. 12:833-845
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.
Autor:
W. WINT, A. MITCHELL, N. ALEXANDER, J. ELLERBECK, G. ENTICOTT, P. HOGARTH, A. PROSSER, L. LAMBERT, D. HACKETT, N. TAIT, J. TILLER, P. UPTON
Publikováno v:
Revue Scientifique et Technique de l'OIE. 42:75-82