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pro vyhledávání: '"Olascoaga, Laura I. Galindez"'
Autor:
Lien, Jaime, Olascoaga, Laura I. Galindez, Dogan, Hasan, Gillian, Nicholas, Barbello, Brandon, Giusti, Leonardo, Poupyrev, Ivan
The objective of this work is to develop an AI foundation model for physical signals that can generalize across diverse phenomena, domains, applications, and sensing apparatuses. We propose a phenomenological approach and framework for creating and v
Externí odkaz:
http://arxiv.org/abs/2410.14724
Publikováno v:
Design, Automation & Test in Europe Conference & Exhibition (DATE) 2020
Probabilistic reasoning is an essential tool for robust decision-making systems because of its ability to explicitly handle real-world uncertainty, constraints and causal relations. Consequently, researchers are developing hybrid models by combining
Externí odkaz:
http://arxiv.org/abs/2103.00266
Publikováno v:
Proceedings of the 56th Annual Design Automation Conference (DAC) 2019
Bayesian reasoning is a powerful mechanism for probabilistic inference in smart edge-devices. During such inferences, a low-precision arithmetic representation can enable improved energy efficiency. However, its impact on inference accuracy is not ye
Externí odkaz:
http://arxiv.org/abs/2103.00216
Publikováno v:
Proceedings of the 56th Annual Design Automation Conference 2019
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=sygma_______::392f4a96c17853269adc45fcd1b57288