Zobrazeno 1 - 10
of 14 127
pro vyhledávání: '"Ansaloni, A."'
Efficient deployment of resource-intensive transformers on edge devices necessitates cross-stack optimization. We thus study the interrelation between structured pruning and systolic acceleration, matching the size of pruned blocks with the systolic
Externí odkaz:
http://arxiv.org/abs/2411.10285
Autor:
Amirshahi, Alireza, Toosi, Maedeh H., Mohammadi, Siamak, Albini, Stefano, Schiavone, Pasquale Davide, Ansaloni, Giovanni, Aminifar, Amir, Atienza, David
Wearable systems provide continuous health monitoring and can lead to early detection of potential health issues. However, the lifecycle of wearable systems faces several challenges. First, effective model training for new wearable devices requires s
Externí odkaz:
http://arxiv.org/abs/2408.01988
Autor:
Cécile Gazo
Publikováno v:
Gouvernement et action publique. 12:189-193
Autor:
Tirelli, Cristian, Sapriza, Juan, Álvarez, Rubén Rodríguez, Ferretti, Lorenzo, Denkinger, Benoît, Ansaloni, Giovanni, Calero, José Miranda, Atienza, David, Pozzi, Laura
Coarse-Grain Reconfigurable Arrays (CGRAs) represent emerging low-power architectures designed to accelerate Compute-Intensive Loops (CILs). The effectiveness of CGRAs in providing acceleration relies on the quality of mapping: how efficiently the CI
Externí odkaz:
http://arxiv.org/abs/2402.12834
Autor:
Léo Magnin
Publikováno v:
Politix. :167-171
The increasing complexity of transformer models in artificial intelligence expands their computational costs, memory usage, and energy consumption. Hardware acceleration tackles the ensuing challenges by designing processors and accelerators tailored
Externí odkaz:
http://arxiv.org/abs/2312.13000
Autor:
Ansaloni de AZEVEDO, Marcela1 marcelaansaloni@hotmail.com
Publikováno v:
Itinerários - Revista de Literatura. Jul-Dec2024, Vol. 2 Issue 59, p205-218. 14p.
Autor:
Andrey A. Litvin, Sophiya B. Rumovskaya, Belinda De Simone, Lucienne Kasongo, Massimo Sartelli, Federico Coccolini, Luca Ansaloni, Ernest E. Moore, Walter Biffl, Fausto Catena
Publikováno v:
World Journal of Emergency Surgery, Vol 19, Iss 1, Pp 1-6 (2024)
Abstract Background The quality of Big Data analysis in medicine and surgery heavily depends on the methods used for clinical data collection, organization, and storage. The Knowledge Graph (KG) represents knowledge through a semantic model, enhancin
Externí odkaz:
https://doaj.org/article/c450dbeacc2d4188b2217ab9b93ae262
Autor:
Giacomo Sermonesi, Riccardo Bertelli, Fredric M. Pieracci, Zsolt J. Balogh, Raul Coimbra, Joseph M. Galante, Andreas Hecker, Dieter Weber, Zachary M. Bauman, Susan Kartiko, Bhavik Patel, SarahAnn S. Whitbeck, Thomas W. White, Kevin N. Harrell, Daniele Perrina, Alessia Rampini, Brian Tian, Francesco Amico, Solomon G. Beka, Luigi Bonavina, Marco Ceresoli, Lorenzo Cobianchi, Federico Coccolini, Yunfeng Cui, Francesca Dal Mas, Belinda De Simone, Isidoro Di Carlo, Salomone Di Saverio, Agron Dogjani, Andreas Fette, Gustavo P. Fraga, Carlos Augusto Gomes, Jim S. Khan, Andrew W. Kirkpatrick, Vitor F. Kruger, Ari Leppäniemi, Andrey Litvin, Andrea Mingoli, David Costa Navarro, Eliseo Passera, Michele Pisano, Mauro Podda, Emanuele Russo, Boris Sakakushev, Domenico Santonastaso, Massimo Sartelli, Vishal G. Shelat, Edward Tan, Imtiaz Wani, Fikri M. Abu-Zidan, Walter L. Biffl, Ian Civil, Rifat Latifi, Ingo Marzi, Edoardo Picetti, Manos Pikoulis, Vanni Agnoletti, Francesca Bravi, Carlo Vallicelli, Luca Ansaloni, Ernest E. Moore, Fausto Catena
Publikováno v:
World Journal of Emergency Surgery, Vol 19, Iss 1, Pp 1-35 (2024)
Abstract Background Rib fractures are one of the most common traumatic injuries and may result in significant morbidity and mortality. Despite growing evidence, technological advances and increasing acceptance, surgical stabilization of rib fractures
Externí odkaz:
https://doaj.org/article/ab27c29fa0fe454cb5512281972ddd3d
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