Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Djohan Bonnet"'
Autor:
Djohan Bonnet, Tifenn Hirtzlin, Atreya Majumdar, Thomas Dalgaty, Eduardo Esmanhotto, Valentina Meli, Niccolo Castellani, Simon Martin, Jean-François Nodin, Guillaume Bourgeois, Jean-Michel Portal, Damien Querlioz, Elisa Vianello
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract Safety-critical sensory applications, like medical diagnosis, demand accurate decisions from limited, noisy data. Bayesian neural networks excel at such tasks, offering predictive uncertainty assessment. However, because of their probabilist
Externí odkaz:
https://doaj.org/article/71a0f04b513342a69e2eef0f95dfe8f1
Autor:
Eduardo Esmanhotto, Tifenn Hirtzlin, Djohan Bonnet, Niccolo Castellani, Jean-Michel Portal, Damien Querlioz, Elisa Vianello
Publikováno v:
Advanced Intelligent Systems, Vol 4, Iss 11, Pp n/a-n/a (2022)
Crossbars of resistive memories, or memristors, provide a road to reduce the energy consumption of artificial neural networks, by naturally implementing multiply accumulate operations, their most basic calculations. However, a major challenge of impl
Externí odkaz:
https://doaj.org/article/c13d235141a1495c867272b10e827af5