Zobrazeno 1 - 10
of 5 958
pro vyhledávání: '"Carta P."'
The use of assistive robots in domestic environments can raise significant ethical concerns, from the risk of individual ethical harm to wider societal ethical impacts including culture flattening and compromise of human dignity. It is therefore esse
Externí odkaz:
http://arxiv.org/abs/2406.09239
Autor:
Grahlow, Fabian, Strauß, Fabian, Scheele, Marcus, Ströbele, Markus, Carta, Alberto, Weber, Sophie F., Kroeker, Scott, Romao, Carl P., Meyer, H. -Jürgen
Publikováno v:
Phys. Chem. Chem. Phys., 2024, 26, 11789-11797
The crystal structures of ANb$_3$Br$_7$S (A = Rb and Cs) have been refined by single crystal X-ray diffraction, and are found to form highly anisotropic materials based on chains of the triangular Nb$_3$ cluster core. The Nb$_3$ cluster core contains
Externí odkaz:
http://arxiv.org/abs/2401.12062
We use a combination of density functional theory (DFT) and dynamical mean-field theory (DMFT) to investigate the potential emergence of a charge-disproportionated insulating phase in SrCrO$_{3}$, whereby the Cr cations disproportionate according to
Externí odkaz:
http://arxiv.org/abs/2312.12033
Autor:
Micheletto, Marco, Casula, Roberto, Orrù, Giulia, Carta, Simone, Concas, Sara, La Cava, Simone Maurizio, Fierrez, Julian, Marcialis, Gian Luca
The International Fingerprint Liveness Detection Competition (LivDet) is a biennial event that invites academic and industry participants to prove their advancements in Fingerprint Presentation Attack Detection (PAD). This edition, LivDet2023, propos
Externí odkaz:
http://arxiv.org/abs/2309.15578
Autor:
Soutif--Cormerais, Albin, Carta, Antonio, Cossu, Andrea, Hurtado, Julio, Hemati, Hamed, Lomonaco, Vincenzo, Van de Weijer, Joost
Online continual learning aims to get closer to a live learning experience by learning directly on a stream of data with temporally shifting distribution and by storing a minimum amount of data from that stream. In this empirical evaluation, we evalu
Externí odkaz:
http://arxiv.org/abs/2308.10328
Autor:
Gallo, Manuel Le, Lammie, Corey, Buechel, Julian, Carta, Fabio, Fagbohungbe, Omobayode, Mackin, Charles, Tsai, Hsinyu, Narayanan, Vijay, Sebastian, Abu, Maghraoui, Kaoutar El, Rasch, Malte J.
Publikováno v:
APL Machine Learning (2023) 1 (4): 041102
Analog In-Memory Computing (AIMC) is a promising approach to reduce the latency and energy consumption of Deep Neural Network (DNN) inference and training. However, the noisy and non-linear device characteristics, and the non-ideal peripheral circuit
Externí odkaz:
http://arxiv.org/abs/2307.09357
Autor:
Carta, Salvatore, Giuliani, Alessandro, Piano, Leonardo, Podda, Alessandro Sebastian, Pompianu, Livio, Tiddia, Sandro Gabriele
In the current digitalization era, capturing and effectively representing knowledge is crucial in most real-world scenarios. In this context, knowledge graphs represent a potent tool for retrieving and organizing a vast amount of information in a pro
Externí odkaz:
http://arxiv.org/abs/2307.01128
Neural networks are very effective when trained on large datasets for a large number of iterations. However, when they are trained on non-stationary streams of data and in an online fashion, their performance is reduced (1) by the online setup, which
Externí odkaz:
http://arxiv.org/abs/2306.16817
Autor:
Morvaridi, M., Bosia, F., Brun, M., Poggetto, V. F. Dal, Gliozzi, A. S., Miniaci, M., Croënne, C., Pugno, N. M., Carta, G.
In this paper, we discuss the possibility of achieving tunable topologically protected edge modes through the application of uniaxial deformation in an auxetic metamaterial. The proposed structure consists of a thin slab with oriented cuts in a hexag
Externí odkaz:
http://arxiv.org/abs/2306.06953
The spread of the Sars-COV-2 pandemic in 2020 had a huge impact on the life course of all of us. This rapid spread has also caused an increase in the research production in topics related to COVID-19 with regard to different aspects. Italy has, unfor
Externí odkaz:
http://arxiv.org/abs/2306.03941