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Listar por autor "Todri Sanial, Aida"  

Mostrando ítems 1-4 de 4

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      A CMOS-compatible oscillation-based VO2 Ising machine solver 

      Maher, Olivier; Jiménez, Manuel; Delacour, Corentin; Harnack, Nele; Núñez Martínez, Juan; Avedillo de Juan, María José; Linares Barranco, Bernabé; Todri Sanial, Aida; Indiveri, Giacomo; Karg, Siegfried (Springer Nature, 2024-04-18)
      Phase-encoded oscillating neural networks offer compelling advantages over metal-oxide-semiconductor-based technology for ...
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      Digital Implementation of Oscillatory Neural Network for Image Recognition Applications 

      Abernot, Madeleine; Gil, Thierry; Jiménez, Manuel; Núñez Martínez, Juan; Avedillo de Juan, María José; Linares Barranco, Bernabé; Gonos, Théophile; Hardelin, Tanguy; Todri Sanial, Aida (Frontiers Media, 2021)
      Computing paradigm based on von Neuman architectures cannot keep up with the ever-increasing data growth (also called “data ...
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      How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase 

      Todri Sanial, Aida; Carapezzi, Stefania; Delacour, Corentin; Abernot, Madeleine; Gil, Thierry; Corti, Elisabetta; Karg, Siegfried F.; Núñez Martínez, Juan; Jiménez, Manuel; Avedillo de Juan, María José; Linares Barranco, Bernabé (IEEE, 2022)
      Brain-inspired computing employs devices and architectures that emulate biological functions for more adaptive and ...
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      Oscillatory Neural Networks Using VO2 Based Phase Encoded Logic 

      Núñez Martínez, Juan; Avedillo de Juan, María José; Jiménez, Manuel; Quintana Toledo, José María; Todri Sanial, Aida; Corti, Elisabetta; Karg, Siegfried; Linares Barranco, Bernabé (Frontiers Media, 2021)
      Nano-oscillators based on phase-transition materials are being explored for the implementation of different non-conventional ...