Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Pedro Megias"'
Autor:
Claudio Pastrone, Sergio Alvarez-Napagao, Alexander Grass, Dimosthenis Ioannidis, Alexandros Nizamis, Fabian Berns, Nicola Ciulli, Natalia Jakubiak, Ilaria Bosi, Pedro Megias, Marta Garcia-Gasulla, Marta Barroso, Boki Ashmore, Ville Lamsa, Christian Beecks, Sisay Adugna Chala, Miquel Sànchez-Marrè, Cristian Barrue, Luca Ziliotti, Rosaria Rossini, Karl Kopke
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
INDIN
Alvarez-Napagao, S, Ashmore, B, Barroso, M, Barrué, C, Beecks, C, Berns, F, Bosi, I, Chala, S A, Ciulli, N, Garcia-Gasulla, M, Grass, A, Ioannidis, D, Jakubiak, N, Köpke, K, Lämsä, V, Megias, P, Nizamis, A, Pastrone, C, Rossini, R, Sànchez-Marrè, M & Ziliotti, L 2021, knowlEdge Project –Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0 . in Proceedings-2021 IEEE 19th International Conference on Industrial Informatics, INDIN 2021 ., 9557410, Wiley-IEEE Press, 2021 IEEE 19th International Conference on Industrial Informatics, INDIN 2021, 21/07/21 . https://doi.org/10.1109/INDIN45523.2021.9557410
Universitat Politècnica de Catalunya (UPC)
INDIN
Alvarez-Napagao, S, Ashmore, B, Barroso, M, Barrué, C, Beecks, C, Berns, F, Bosi, I, Chala, S A, Ciulli, N, Garcia-Gasulla, M, Grass, A, Ioannidis, D, Jakubiak, N, Köpke, K, Lämsä, V, Megias, P, Nizamis, A, Pastrone, C, Rossini, R, Sànchez-Marrè, M & Ziliotti, L 2021, knowlEdge Project –Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0 . in Proceedings-2021 IEEE 19th International Conference on Industrial Informatics, INDIN 2021 ., 9557410, Wiley-IEEE Press, 2021 IEEE 19th International Conference on Industrial Informatics, INDIN 2021, 21/07/21 . https://doi.org/10.1109/INDIN45523.2021.9557410
AI is one of the biggest megatrends towards the 4th industrial revolution. Although these technologies promise business sustainability as well as product and process quality, it seems that the ever-changing market demands, the complexity of technolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::167d9f54b3a8621054127ea823887863
https://doi.org/10.1109/INDIN45523.2021.9557410
https://doi.org/10.1109/INDIN45523.2021.9557410
Size & shape matters: The need of HPC benchmarks of high resolution image training for deep learning
Autor:
Marta Garcia-Gasulla, Jesús Labarta, Ferran Parés Pont, Pedro Megias, Dario Garcia-Gasulla, Eduard Ayguadé
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
One of the purposes of HPC benchmarks is to identify limitations and bottlenecks in hardware. This functionality is particularly influential when assessing performance on emerging tasks, the nature and requirements of which may not yet be fully under
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a7a0937a436955b2467d8622e567510
http://hdl.handle.net/2117/349274
http://hdl.handle.net/2117/349274