Zobrazeno 1 - 10
of 17 426
pro vyhledávání: '"Abad P"'
Autor:
Gandia, David, Marcano, Lourdes, Gandarias, Lucía, Gubieda, Alicia G., García-Prieto, Ana, Barquín, Luis Fernández, Espeso, Jose Ignacio, Jefremovas, Elizabeth Martín, Orue, Iñaki, de Cerio, Ana Abad Diaz, Fdez-Gubieda, M. Luisa, Alonso, Javier
Magnetotactic bacteria (MTB) are of significant interest for biophysical applications, particularly in cancer treatment. The biomineralized magnetosomes produced by these bacteria are high-quality magnetic nanoparticles that form chains through a hig
Externí odkaz:
http://arxiv.org/abs/2410.00550
Artificial Neural Networks (ANNs), commonly mimicking neurons with non-linear functions to output floating-point numbers, consistently receive the same signals of a data point during its forward time. Unlike ANNs, Spiking Neural Networks (SNNs) get v
Externí odkaz:
http://arxiv.org/abs/2409.19413
Autor:
Chen, Liangyu, Fors, Simon Pettersson, Yan, Zixian, Ali, Anaida, Abad, Tahereh, Osman, Amr, Moschandreou, Eleftherios, Lienhard, Benjamin, Kosen, Sandoko, Li, Hang-Xi, Shiri, Daryoush, Liu, Tong, Hill, Stefan, Amin, Abdullah-Al, Rehammar, Robert, Dahiya, Mamta, Nylander, Andreas, Rommel, Marcus, Roudsari, Anita Fadavi, Caputo, Marco, Leif, Grönberg, Govenius, Joonas, Dobsicek, Miroslav, Giannelli, Michele Faucci, Kockum, Anton Frisk, Bylander, Jonas, Tancredi, Giovanna
The realization of fault-tolerant quantum computing requires the execution of quantum error-correction (QEC) schemes, to mitigate the fragile nature of qubits. In this context, to ensure the success of QEC, a protocol capable of implementing both qub
Externí odkaz:
http://arxiv.org/abs/2409.16748
Autor:
Agashe, Kaustubh, Buen-Abad, Manuel, Chang, Jae Hyeok, Clark, Steven J., Dutta, Bhaskar, Tsai, Yuhsin, Xu, Tao
We consider the possibility of indirect detection of dark sector processes by investigating a novel form of interaction between ambient dark matter (DM) and primordial black holes (PBHs). The basic scenario we envisage is that the ambient DM is ``dor
Externí odkaz:
http://arxiv.org/abs/2409.13811
Speech is a rich biomarker that encodes substantial information about the health of a speaker, and thus it has been proposed for the detection of numerous diseases, achieving promising results. However, questions remain about what the models trained
Externí odkaz:
http://arxiv.org/abs/2409.10230
Due to the high cost of training, large model (LM) practitioners commonly use pretrained models downloaded from untrusted sources, which could lead to owning compromised models. In-context learning is the ability of LMs to perform multiple tasks depe
Externí odkaz:
http://arxiv.org/abs/2409.04142
Reinforcement learning is a subfield of machine learning that is having a huge impact in the different conventional disciplines, including physical sciences. Here, we show how reinforcement learning methods can be applied to solve optimization proble
Externí odkaz:
http://arxiv.org/abs/2408.15727
Autor:
Abad Pablo Ramos Romero
Publikováno v:
UCV-Scientia, Vol 12, Iss 2, Pp 95-107 (2020)
El presente trabajo tiene como finalidad analizar el plan de estudio en la inserción laboral de los egresados de producción agropecuaria en los institutos de educación superior tecnológicos públicos de la Región Lima. La investigación se inici
Externí odkaz:
https://doaj.org/article/55c76738207d48a5977d075b44f0361e
The risk of language models unintentionally reproducing copyrighted material from their training data has led to the development of various protective measures. In this paper, we propose model fusion as an effective solution to safeguard against copy
Externí odkaz:
http://arxiv.org/abs/2407.20105
We provide a comprehensive study of the capabilities of modulated electron wavefunctions for the preparation and readout of the quantum state of the quantum emitters (QEs) they interact with. First, we consider perfectly periodic electron combs, whic
Externí odkaz:
http://arxiv.org/abs/2407.17885