Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Graves, Catherine E."'
Autor:
Pedretti, Giacomo, Moon, John, Bruel, Pedro, Serebryakov, Sergey, Roth, Ron M., Buonanno, Luca, Gajjar, Archit, Ziegler, Tobias, Xu, Cong, Foltin, Martin, Faraboschi, Paolo, Ignowski, Jim, Graves, Catherine E.
Structured, or tabular, data is the most common format in data science. While deep learning models have proven formidable in learning from unstructured data such as images or speech, they are less accurate than simpler approaches when learning from t
Externí odkaz:
http://arxiv.org/abs/2304.01285
Autor:
Mao, Ruibin, Wen, Bo, Zhao, Yahui, Kazemi, Arman, Laguna, Ann Franchesca, Neimier, Michael, Hu, X. Sharon, Sheng, Xia, Graves, Catherine E., Strachan, John Paul, Li, Can
Lifelong on-device learning is a key challenge for machine intelligence, and this requires learning from few, often single, samples. Memory augmented neural network has been proposed to achieve the goal, but the memory module has to be stored in an o
Externí odkaz:
http://arxiv.org/abs/2204.07429
Multiplexing in photonics as a resource for optical ternary content-addressable memory functionality
Autor:
London Yanir, Van Vaerenbergh Thomas, Ramini Luca, Descos Antoine, Buonanno Luca, Youn Jinsung, Li Can, Graves Catherine E., Fiorentino Marco, Beausoleil Raymond G.
Publikováno v:
Nanophotonics, Vol 12, Iss 22, Pp 4137-4155 (2023)
In this paper, we combine a Content-Addressable Memory (CAM) encoding scheme previously proposed for analog electronic CAMs (E-CAMs) with optical multiplexing techniques to create two new photonic CAM architectures—wavelength-division multiplexing
Externí odkaz:
https://doaj.org/article/e35bad731e6647f780b6e7b40ba93f8e
Autor:
Pedretti, Giacomo, Graves, Catherine E., Li, Can, Serebryakov, Sergey, Sheng, Xia, Foltin, Martin, Mao, Ruibin, Strachan, John Paul
Tree-based machine learning techniques, such as Decision Trees and Random Forests, are top performers in several domains as they do well with limited training datasets and offer improved interpretability compared to Deep Neural Networks (DNN). Howeve
Externí odkaz:
http://arxiv.org/abs/2103.08986
Autor:
Li, Can, Graves, Catherine E., Sheng, Xia, Miller, Darrin, Foltin, Martin, Pedretti, Giacomo, Strachan, John Paul
Publikováno v:
Published in Nature Communications, 11, 1638, 2020
A content-addressable-memory compares an input search word against all rows of stored words in an array in a highly parallel manner. While supplying a very powerful functionality for many applications in pattern matching and search, it suffers from l
Externí odkaz:
http://arxiv.org/abs/1907.08177
Autor:
Kumar, Suhas, Graves, Catherine E., Strachan, John Paul, Grafals, Emmanuelle Merced, Kilcoyne, Arthur L. David, Tyliszczak, Tolek, Weker, Johanna Nelson, Nishi, Yoshio, Williams, R. Stanley
Oxygen migration in tantalum oxide, a promising next-generation storage material, is studied using in-operando x-ray absorption spectromicroscopy and is used to microphysically describe accelerated evolution of conduction channel and device failure.
Externí odkaz:
http://arxiv.org/abs/1602.01204
Autor:
Kumar, Suhas, Graves, Catherine E., Strachan, John Paul, Kilcoyne, A. L. David, Tyliszczak, Tolek, Nishi, Yoshio, Williams, R. Stanley
Publikováno v:
Journal of Applied Physics 118, 034502 (2015)
Memristors are receiving keen interest because of their potential varied applications and promising large-scale information storage capabilities. Tantalum oxide is a memristive material that has shown promise for high-performance nonvolatile computer
Externí odkaz:
http://arxiv.org/abs/1510.05066
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.