Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Shruti R. Kulkarni"'
Autor:
Jieun Yoo, Jennet Dickinson, Morris Swartz, Giuseppe Di Guglielmo, Alice Bean, Douglas Berry, Manuel Blanco Valentin, Karri DiPetrillo, Farah Fahim, Lindsey Gray, James Hirschauer, Shruti R Kulkarni, Ron Lipton, Petar Maksimovic, Corrinne Mills, Mark S Neubauer, Benjamin Parpillon, Gauri Pradhan, Chinar Syal, Nhan Tran, Dahai Wen, Aaron Young
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035047 (2024)
Highly granular pixel detectors allow for increasingly precise measurements of charged particle tracks. Next-generation detectors require that pixel sizes will be further reduced, leading to unprecedented data rates exceeding those foreseen at the Hi
Externí odkaz:
https://doaj.org/article/aa2631c16f494145a9232dd2f336c1f7
Autor:
Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay
Publikováno v:
Nature Computational Science. 2:10-19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c178d2b3b5050bad3bf2fb341de2220
https://doi.org/10.1038/s43588-021-00184-y
https://doi.org/10.1038/s43588-021-00184-y
Publikováno v:
2022 IEEE International Conference on Emerging Electronics (ICEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12b525e83e113b01e5b3f6e5c6150e74
https://doi.org/10.1109/icee56203.2022.10118061
https://doi.org/10.1109/icee56203.2022.10118061
Publikováno v:
Neurocomputing. 447:145-160
Software simulators play a critical role in the development of new algorithms and system architectures in any field of engineering. Neuromorphic computing, which has shown potential in building brain-inspired energy-efficient hardware, suffers a slow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3b3b99e6cfdebdf273a8d1f75a5f599
https://doi.org/10.1016/j.neucom.2021.03.028
https://doi.org/10.1016/j.neucom.2021.03.028
Autor:
Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong
Publikováno v:
Expert Systems. 40
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4826ba1837ec292b4bcccf421245ea5
https://doi.org/10.1111/exsy.13100
https://doi.org/10.1111/exsy.13100
Autor:
Kenneth de Jong, Mark Coletti, Maryam Parsa, Catherine D. Schuman, Shruti R. Kulkarni, Eric O. Scott, Bill Kay
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030870935
UKCI
UKCI
Asynchronous evolutionary algorithms are becoming increasingly popular as a means of making full use of many processors while solving computationally expensive search and optimization problems. These algorithms excel at keeping large clusters fully u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92a8a3ed3c82c18684e210641ce5a41a
https://doi.org/10.1007/978-3-030-87094-2_7
https://doi.org/10.1007/978-3-030-87094-2_7
Publikováno v:
2021 IEEE Energy Conversion Congress and Exposition (ECCE).
In power electronics, prediction of states may be used for identification of faults, determination of aging of components, identification of bad data measurements, among others. Prediction of states in power electronics have broadly been based on: (a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a542308f0d5edfa08005eaa8fdeffc75
https://doi.org/10.1109/ecce47101.2021.9595128
https://doi.org/10.1109/ecce47101.2021.9595128
Publikováno v:
ICONS
Neuromorphic computing is emerging as a promising Beyond Moore computing paradigm that employs event-triggered computation and non-von Neumann hardware. Spike Timing Dependent Plasticity (STDP) is a well-known bio-inspired learning rule that relies o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26c97308b1e9cd94a645fb475bff45e0
https://doi.org/10.1145/3477145.3477152
https://doi.org/10.1145/3477145.3477152
Autor:
Maryam Parsa, Catherine D. Schuman, Shay E. Snyder, Thomas E. Potok, Shruti R. Kulkarni, Christopher G. Stahl, N. Quentin Haas, Spencer Paulissen, Prasanna Date, J. Parker Mitchell, Robert M. Patton
Publikováno v:
ICONS
Neuromorphic computing has many opportunities in future autonomous systems, especially those that will operate at the edge. However, there are relatively few demonstrations of neuromorphic implementations on real-world applications, partly because of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f93d01b7ed84e810668dd53590372b01
https://doi.org/10.1145/3477145.3477170
https://doi.org/10.1145/3477145.3477170
Autor:
James S. Plank, Catherine D. Schuman, Nicholas D. Skuda, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell
Publikováno v:
IJCNN
There are a wide variety of training approaches for spiking neural networks for neuromorphic deployment. However, it is often not clear how these training algorithms perform or compare when applied across multiple neuromorphic hardware platforms and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b825a0fbd75e8f15ffbc5498be320526
https://doi.org/10.1109/ijcnn52387.2021.9533881
https://doi.org/10.1109/ijcnn52387.2021.9533881