Zobrazeno 1 - 10
of 460
pro vyhledávání: '"D, Hoskins"'
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
While promising for high-capacity machine learning accelerators, memristor devices have non-idealities that prevent software-equivalent accuracies when used for online training. This work uses a combination of Mini-Batch Gradient Descent (MBGD) to av
Externí odkaz:
https://doaj.org/article/e757422268bc4a378caf150d006973d5
Autor:
Jonathan M. Goodwill, Georg Ramer, Dasheng Li, Brian D. Hoskins, Georges Pavlidis, Jabez J. McClelland, Andrea Centrone, James A. Bain, Marek Skowronski
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-8 (2019)
Today the phenomenon underlying threshold switching of Oxide-based resistive memories is an unresolved debate. Here, the authors report that the TaOx-based conductive filament formation, the current density and temperature are not-uniform distributio
Externí odkaz:
https://doaj.org/article/97f7a07a55ec43febc4d159255dbad9d
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 19:1-24
The movement of large quantities of data during the training of a deep neural network presents immense challenges for machine learning workloads, especially those based on future functional memories deployed to store network models. As the size of ne
Autor:
Mathew D. Hoskins, Robert Sinnerton, Anna Nakamura, Jack F. G. Underwood, Alan Slater, Catrin Lewis, Neil P. Roberts, Jonathan I. Bisson, Matthew Lee, Liam Clarke
Publikováno v:
European Journal of Psychotraumatology, Vol 12, Iss 1 (2021)
Background: Pharmacological-assisted psychotherapies, using conventional and novel drug agents, are increasingly being used both in clinical and experimental research settings, respectively. Objective: To determine the efficacy of conventional and no
Externí odkaz:
https://doaj.org/article/596b753c53904e1ebb59a181c2f29c69
Autor:
Mathew D. Hoskins, Jack Bridges, Robert Sinnerton, Anna Nakamura, Jack F. G. Underwood, Alan Slater, Matthew R. D. Lee, Liam Clarke, Catrin Lewis, Neil P. Roberts, Jonathan I. Bisson
Publikováno v:
European Journal of Psychotraumatology, Vol 12, Iss 1 (2021)
Background: Pharmacological approaches are widely used for post-traumatic stress disorder (PTSD) despite uncertainty over efficacy. Objectives: To determine the efficacy of all pharmacological approaches, including monotherapy, augmentation and head-
Externí odkaz:
https://doaj.org/article/aaa6a80f10bb41eba6efda23f53a9799
Autor:
Tyler D. Hoskins, Elizabeth B. Allmon, R. Wesley Flynn, Linda S. Lee, Youn Choi, Jason T. Hoverman, Maria S. Sepúlveda
Publikováno v:
Environmental Toxicology and Chemistry. 41:3007-3016
Per- and polyfluoroalkyl substances (PFAS) are chemicals associated with adverse health effects. At aqueous film-forming foam sites, they occur as mixtures, with perfluorooctanesulfonic acid (PFOS) and perfluorohexanesulfonic acid (PFHxS) commonly co
Autor:
Jake D. Hoskins, Stephen J. Carson
Publikováno v:
Journal of Business Research. 149:178-192
Autor:
Brian D. Hoskins, Gina C. Adam, Evgheni Strelcov, Nikolai Zhitenev, Andrei Kolmakov, Dmitri B. Strukov, Jabez J. McClelland
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-11 (2017)
Oxide-based memristors hold promise for artificial neuromorphic computing, yet the detail of the switching mechanism—filament formation—remains largely unknown. Hoskins et al. provide nanoscale imaging of this process using electron beam induced
Externí odkaz:
https://doaj.org/article/d0fb653e348142e1b8662ad03c0cfa6e
Autor:
Jake D. Hoskins, Jameson K. Watts
Publikováno v:
Journal of Interactive Marketing. 57:614-628
Using a data set on the U.S. craft beer industry that includes more than one million online customer reviews, the authors investigate how mainstream channel distribution and sales by niche brands affects electronic word-of-mouth (eWOM) valence. They
Autor:
Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang, Advait Madhavan, Gina C. Adam, Nikolai Zhitenev, Jabez J. McClelland, Mark D. Stiles
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Neural networks based on nanodevices, such as metal oxide memristors, phase change memories, and flash memory cells, have generated considerable interest for their increased energy efficiency and density in comparison to graphics processing units (GP
Externí odkaz:
https://doaj.org/article/9fc6cdecc96e485aa27de89a19bed0ae