Zobrazeno 1 - 10
of 23 408
pro vyhledávání: '"A Di Carlo"'
Autor:
Marchesin, Federico, Hejda, Matěj, Carmona, Tzamn Melendez, Di Carlo, Stefano, Savino, Alessandro, Pavanello, Fabio, Van Vaerenbergh, Thomas, Bienstman, Peter
Matrix-vector multiplications (MVMs) are essential for a wide range of applications, particularly in modern machine learning and quantum computing. In photonics, there is growing interest in developing architectures capable of performing linear opera
Externí odkaz:
http://arxiv.org/abs/2411.02243
Autor:
Fujita, Yoto, Nugraha, Aditya Arie, Di Carlo, Diego, Bando, Yoshiaki, Fontaine, Mathieu, Yoshii, Kazuyoshi
This paper describes speech enhancement for realtime automatic speech recognition (ASR) in real environments. A standard approach to this task is to use neural beamforming that can work efficiently in an online manner. It estimates the masks of clean
Externí odkaz:
http://arxiv.org/abs/2410.22805
Autor:
Alonso, Martí, Andreu, David, Canal, Ramon, Di Carlo, Stefano, Chatzopoulos, Odysseas, Chenet, Cristiano, Costa, Juanjo, Girones, Andreu, Gizopoulos, Dimitris, Papadimitriou, George, Morancho, Enric, Otero, Beatriz, Savino, Alessandro
Security and RAS are two non-functional requirements under focus for current systems developed for the computing continuum. Due to the increased number of interconnected computer systems across the continuum, security becomes especially pervasive at
Externí odkaz:
http://arxiv.org/abs/2410.17116
Merger rate predictions of Massive Black Hole (MBH) seeds from large-scale cosmological simulations differ widely, with recent studies highlighting the challenge of low-mass MBH seeds failing to reach the galactic center, a phenomenon known as the se
Externí odkaz:
http://arxiv.org/abs/2409.19095
Autor:
Prodan, George P., Pasquato, Mario, Iorio, Giuliano, Ballone, Alessandro, Torniamenti, Stefano, Di Carlo, Ugo Niccolò, Mapelli, Michela
Context. Computational astronomy has reached the stage where running a gravitational N-body simulation of a stellar system, such as a Milky Way star cluster, is computationally feasible, but a major limiting factor that remains is the ability to set
Externí odkaz:
http://arxiv.org/abs/2409.10627
Autor:
Li, Shengkai, Phan, Trung V., Di Carlo, Luca, Wang, Gao, Do, Van H., Mikhail, Elia, Austin, Robert H., Liu, Liyu
We do experiments on physical agents with dynamic binary ideologies, deep memories of previous probes of neigboring agents, but fixed personalities that interpret the memory content to make ideological decisions. We find experimentally a critical mem
Externí odkaz:
http://arxiv.org/abs/2409.06660
Autor:
Carpegna, Alessio, De Luca, Chiara, Pozzi, Federico Emanuele, Savino, Alessandro, Di Carlo, Stefano, Indiveri, Giacomo, Donati, Elisa
Detecting monotonic changes in heart rate (HR) is crucial for early identification of cardiac conditions and health management. This is particularly important for dementia patients, where HR trends can signal stress or agitation. Developing wearable
Externí odkaz:
http://arxiv.org/abs/2409.02618
Autor:
Gabrielli, Francesco, Lapi, Andrea, Boco, Lumen, Ugolini, Cristiano, Costa, Guglielmo, Sgalletta, Cecilia, Shepherd, Kendall, Di Carlo, Ugo N., Bressan, Alessandro, Limongi, Marco, Spera, Mario
Pair-instability supernovae (PISNe) have crucial implications for many astrophysical topics, including the search for very massive stars, the black hole mass spectrum, and galaxy chemical enrichment. To this end, we need to understand where PISNe are
Externí odkaz:
http://arxiv.org/abs/2408.16823
Autor:
Di Carlo, Luca
We investigate the critical behavior of the Kinetic Ising model with non-reciprocal nearest neighbors interactions. A finite-size scaling study suggests that the model belongs to the Ising universality class. We characterize the off-equilibrium behav
Externí odkaz:
http://arxiv.org/abs/2408.11690
Autor:
Sarra, Camilla, Sarra, Leopoldo, Di Carlo, Luca, GrandPre, Trevor, Zhang, Yaojun, Callan Jr., Curtis G., Bialek, William
New experimental methods make it possible to measure the expression levels of many genes, simultaneously, in snapshots from thousands or even millions of individual cells. Current approaches to analyze these experiments involve clustering or low-dime
Externí odkaz:
http://arxiv.org/abs/2408.08037