Zobrazeno 1 - 10
of 921
pro vyhledávání: '"Lombardi Fabrizio"'
Autor:
Wang, Ziheng, Reviriego, Pedro, Niknia, Farzad, Conde, Javier, Liu, Shanshan, Lombardi, Fabrizio
Publikováno v:
IEEE Internet of Things Journal 2023 Volume:11, Issue:8
The implementation of machine learning in Internet of Things devices poses significant operational challenges due to limited energy and computation resources. In recent years, significant efforts have been made to implement simplified ML models that
Externí odkaz:
http://arxiv.org/abs/2408.14528
Stable Diffusion is a popular Transformer-based model for image generation from text; it applies an image information creator to the input text and the visual knowledge is added in a step-by-step fashion to create an image that corresponds to the inp
Externí odkaz:
http://arxiv.org/abs/2404.00352
The wide adoption of Large language models (LLMs) makes their dependability a pressing concern. Detection of errors is the first step to mitigating their impact on a system and thus, efficient error detection for LLMs is an important issue. In many s
Externí odkaz:
http://arxiv.org/abs/2403.16393
Autor:
Martínez, Gonzalo, Conde, Javier, Reviriego, Pedro, Merino-Gómez, Elena, Hernández, José Alberto, Lombardi, Fabrizio
The introduction of ChatGPT has put Artificial Intelligence (AI) Natural Language Processing (NLP) in the spotlight. ChatGPT adoption has been exponential with millions of users experimenting with it in a myriad of tasks and application domains with
Externí odkaz:
http://arxiv.org/abs/2309.16777
Autor:
Reviriego, Pedro, Wang, Ziheng, Alonso, Alvaro, Gao, Zhen, Niknia, Farzad, Liu, Shanshan, Lombardi, Fabrizio
Publikováno v:
IEEE Transactions on Reliability, 2024
The complexity of Machine Learning (ML) systems increases each year, with current implementations of large language models or text-to-image generators having billions of parameters and requiring billions of arithmetic operations. As these systems are
Externí odkaz:
http://arxiv.org/abs/2306.01820
Publikováno v:
EPJ Web of Conferences, Vol 230, p 00005 (2020)
Physical and biological systems often exhibit intermittent dynamics with bursts or avalanches (active states) characterized by power-law size and duration distributions. These emergent features are typical of systems at the critical point of continuo
Externí odkaz:
https://doaj.org/article/af2b3aee0f554d64be7d113716704129
Publikováno v:
Studies in Conservation (Taylor and Francis), 2023
A large number of ancient mosaics have not reached us because they have been destroyed by erosion, earthquakes, looting or even used as materials in newer construction. To make things worse, among the small fraction of mosaics that we have been able
Externí odkaz:
http://arxiv.org/abs/2210.06145
Autor:
Junsangsri, Salin ⁎, Lombardi, Fabrizio ⁎
Publikováno v:
In Microelectronics Reliability February 2025 165
Neurons in the brain are wired into adaptive networks that exhibit a range of collective dynamics. Oscillations, for example, are paradigmatic synchronous patterns of neural activity with a defined temporal scale. Neuronal avalanches, in contrast, ar
Externí odkaz:
http://arxiv.org/abs/2108.06686
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.