par Lupo, Alessandro 
;Zajnulina, Marina;Massar, Serge
Référence SPIE OPTO(2023: San Francisco, California, United States), AI and Optical Data Sciences IV, SPIE, Vol. 12438, page (124380)
Publication Publié, 2023
;Zajnulina, Marina;Massar, Serge Référence SPIE OPTO(2023: San Francisco, California, United States), AI and Optical Data Sciences IV, SPIE, Vol. 12438, page (124380)
Publication Publié, 2023
Publication dans des actes
| Résumé : | Reservoir Computers (RC) are brain-inspired algorithms that use partially untrained recurrent neural networks where only output connections are tuned. RCs can perform signal-analysis tasks such as distortion compensation. We recently demonstrated a photonic RC in which neurons are encoded in a frequency comb, untrained interconnections are realized by phase modulation, and trained output connections are realized by spectral filters. Here, we present a further development of this scheme in which the same substrate is used to implement two RCs simultaneously. The two RCs can either be used in parallel on different tasks, or in series, thereby implementing a “deep” RC. |
