Zobrazeno 1 - 10
of 717
pro vyhledávání: '"Orsino, A."'
Large Language Models (LLMs) have revolutionized artificial intelligence, demonstrating remarkable computational power and linguistic capabilities. However, these models are inherently prone to various biases stemming from their training data. These
Externí odkaz:
http://arxiv.org/abs/2407.08441
Autor:
Cantini, Riccardo, Marozzo, Fabrizio, Orsino, Alessio, Talia, Domenico, Trunfio, Paolo, Badia, Rosa M., Ejarque, Jorge, Vazquez, Fernando
Publikováno v:
Journal of Big Data, vol. 11, n. 19, 2024
The extensive use of HPC infrastructures and frameworks for running dataintensive applications has led to a growing interest in data partitioning techniques and strategies. In fact, application performance can be heavily affected by how data are part
Externí odkaz:
http://arxiv.org/abs/2211.10819
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-17 (2024)
Abstract Large Language Models (LLMs) are characterized by their inherent memory inefficiency and compute-intensive nature, making them impractical to run on low-resource devices and hindering their applicability in edge AI contexts. To address this
Externí odkaz:
https://doaj.org/article/e0c389c6014e469fae6a3dc05f689b61
Autor:
Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio, Rosa M. Badia, Jorge Ejarque, Fernando Vázquez-Novoa
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-23 (2024)
Abstract The extensive use of HPC infrastructures and frameworks for running data-intensive applications has led to a growing interest in data partitioning techniques and strategies. In fact, application performance can be heavily affected by how dat
Externí odkaz:
https://doaj.org/article/4dc1829f814346e19d1d39032008d625
Devices with multiple Subscriber Identification Modules (SIM)s are expected to prevail over the conventional devices with only one SIM. Despite the growing demand for such devices, only proprietary solutions are available so far. To fill this gap, th
Externí odkaz:
http://arxiv.org/abs/2201.08041
Autor:
Rinaldi, Federica, Pizzi, Sara, Orsino, Antonino, Iera, Antonio, Molinaro, Antonella, Araniti, Giuseppe
Forthcoming 5G New Radio (NR) systems will be asked to handle a huge number of devices accessing or delivering "resource-hungry" and high-quality services. In view of this, the new 5G Radio Access Technology (RAT) aims to support, in next releases, M
Externí odkaz:
http://arxiv.org/abs/2110.03542
Autor:
Piscopo, Alessandro, Iavarone, Salvatore, Savarese, Matteo, Riis, Mehdi, Crawford, Bruce, Bessette, Didier, Orsino, Stefano, Coussement, Axel, De Paepe, Ward, Parente, Alessandro
Publikováno v:
In Acta Astronautica May 2024 218:70-89
Publikováno v:
In Mechanism and Machine Theory April 2024 194
Publikováno v:
In Research in Developmental Disabilities March 2024 146
Autor:
Castellani, Simone, Meloni, Roberto, Orsino, Stefano, Ansari, Naseem, Yadav, Rakesh, Bessette, Didier, Boxx, Isaac, Andreini, Antonio
Publikováno v:
In International Journal of Hydrogen Energy 9 November 2023 48(90):35291-35304