Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Allison Allain"'
Autor:
Scot H. Rider, Martin Lutz, Moriyoshi Ohara, Pong-Fei Lu, Monodeep Kar, Xiao Sun, Kailash Gopalakrishnan, Jie Yang, Hoang Tran, Wei Wang, Michael A. Guillorn, Marcel Schaal, Ankur Agrawal, Xin Zhang, Joel Abraham Silberman, Sunil Shukla, Nianzheng Cao, James Bonano, Zhibin Ren, Sanchari Sen, Siyu Koswatta, Kyu-hyoun Kim, Mingu Kang, Swagath Venkataramani, Eri Ogawa, Vijayalakshmi Srinivasan, Hiroshi Inoue, Matt Ziegler, Howard M. Haynie, Shubham Jain, Vinay Velji Shah, Allison Allain, Jintao Zhang, Matthew Cohen, Jungwook Choi, Kerstin Schelm, Jinwook Oh, Li Yulong, Chia-Yu Chen, Ching Zhou, Naigang Wang, Jinwook Jung, Sae Kyu Lee, Silvia Melitta Mueller, Kazuaki Ishizaki, Bruce M. Fleischer, Michael R. Scheuermann, Vidhi Zalani, Brian W. Curran, Leland Chang, Mauricio J. Serrano, Ashish Ranjan, Alberto Mannari, Robert Casatuta
Publikováno v:
ISCA
The growing prevalence and computational demands of Artificial Intelligence (AI) workloads has led to widespread use of hardware accelerators in their execution. Scaling the performance of AI accelerators across generations is pivotal to their succes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edc72fc1439c98a561b7e0104cf8a62a
https://doi.org/10.1109/isca52012.2021.00021
https://doi.org/10.1109/isca52012.2021.00021
Publikováno v:
MAPL@PLDI
Machine learning has transformed domains like vision and translation, and is now increasingly used in science, where the correctness of such code is vital. Python is popular for machine learning, in part because of its wealth of machine learning libr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::242387728ad24bf5c0a951cd83ac5a27
https://doi.org/10.1145/3211346.3211349
https://doi.org/10.1145/3211346.3211349
Publikováno v:
Intelligent Tutoring Systems ISBN: 9783319914633
ITS
ITS
We present a unified learner modeling approach in a childhood vocabulary tutoring platform that enables learning continuum across multiple learning experiences. By decoupling experiences from learner modeling, multiple learning experiences can be dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f009679a3e1783b2a3f6c1e9e6075283
https://doi.org/10.1007/978-3-319-91464-0_45
https://doi.org/10.1007/978-3-319-91464-0_45
