Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Chaitanya Paikara"'
Autor:
Elham E Khoda, Dylan Rankin, Rafael Teixeira de Lima, Philip Harris, Scott Hauck, Shih-Chieh Hsu, Michael Kagan, Vladimir Loncar, Chaitanya Paikara, Richa Rao, Sioni Summers, Caterina Vernieri, Aaron Wang
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 2, p 025004 (2023)
Recurrent neural networks have been shown to be effective architectures for many tasks in high energy physics, and thus have been widely adopted. Their use in low-latency environments has, however, been limited as a result of the difficulties of impl
Externí odkaz:
https://doaj.org/article/466e78a8486f42c9a5dabee5d438eddd
Autor:
null Elham E Khoda, null Dylan Rankin, null Rafael Teixeira de Lima, null Philip Harris, null Scott Hauck, null Shih-Chieh Hsu, null Michael Kagan, null Vladimir Loncar, null Chaitanya Paikara, null Richa Rao, null Sioni Paris Summers, null Caterina Vernieri, null Aaron Wang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3f0bdec5b7265e200eb41ac35708267
https://doi.org/10.1088/2632-2153/acc0d7/v2/response1
https://doi.org/10.1088/2632-2153/acc0d7/v2/response1
Autor:
Elham E Khoda, Dylan Rankin, Rafael Teixeira de Lima, Philip Harris, Scott Hauck, Shih-Chieh Hsu, Michael Kagan, Vladimir Loncar, Chaitanya Paikara, Richa Rao, Sioni Summers, Caterina Vernieri, Aaron Wang
Recurrent neural networks have been shown to be effective architectures for many tasks in high energy physics, and thus have been widely adopted. Their use in low-latency environments has, however, been limited as a result of the difficulties of impl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32c09416e4d7fdfbb4a9a41df9ad42bc
http://cds.cern.ch/record/2816114
http://cds.cern.ch/record/2816114
Autor:
Dishank Yadav, Chaitanya Paikara, Souham Mandal, Abhilash Nandy, Shashikant Soren, Adarsh Kumar Kosta
Publikováno v:
2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).
On the lines of dramatic growth of victims of paralysis worldwide, the grievances, societal negligence and the difficulties in performing everyday basic tasks they face leading to prominent dependence on family and friends, this paper proposes an int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54e9138097968a5e3ff2d45dcb1b45a8
https://doi.org/10.1109/rteict42901.2018.9012636
https://doi.org/10.1109/rteict42901.2018.9012636