Energy- and size-efficient ultra-fast plasmonic circuits for neuromorphic computing architectures
Energy- and size-efficient ultra-fast plasmonic circuits for neuromorphic computing architectures
Energy- and size-efficient ultra-fast plasmonic circuits for neuromorphic computing architectures

Conference Proceedings

  • G. Mourgias-Alexandris, G. Dabos, N. Passalis, A. Tefas, A. Totovic, and N. Pleros, "All-optical recurrent neural network with sigmoid activation function", in Optical Fiber Communication Conference (OFC) 2020, OSA Technical Digest (Optical Society of America, 2020), paper W3A.5.
  • G. Dabos , A. Totovic and N. Pleros, "Neuromorphic Photonic Architectures", DATE Conference 2020, Grenoble
  • G. Mourgias-Alexandris, A. Totovic, N. Passalis, G. Dabos, A. Tefas, and N. Pleros, "Neuromorphic computing through photonic integrated circuits", Proc. SPIE 11284, Smart Photonic and Optoelectronic Integrated Circuits XXII, 1128403
  • George Dabos, George Mourgias-Alexandris, Angelina Totović, Nikolaos Passalis, Anastasios Tefas and Nikos Pleros, "Photonic Recurrent Neural Networks with Gating Circuit", CLEO 2020 OSA (Virtual Conference)
  • G. Dabos, N. Passalis, A. Totovic, A. Tefas, G. Mourgias-Alexandris, "Light-powered neurons and AI PIC engines", IEEE Summer Topicals 2020 (Invited)
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