Biologically inspired deep machine learning is an emerging framework for dealing with complex high-dimensional data. An unsupervised feature extraction deep learning architecture called Deep Spatio-Temporal Inference Network (DeSTIN) utilizes a hierarchy of computational nodes, where each node features a common algorithm for inference of temporal patterns. The nodes all are geared to online lea...

One approach to bridging the historic divide between ”symbolic” and ”subsymbolic” AI is to incorporate a subsymbolic system and a symbolic system into a synergetic integrative cognitive architecture. Here we consider various issues related to incorporating (subsymbolic) compositional spatiotemporal deep learning networks (CSDLNs, a term introduced to denote the category including HTM, DeSTIN an...

Bridging the gap between symbolic and subsymbolic representations is a – perhaps the – key obstacle along the path from the present state of AI achievement to human-level artificial general intelligence. One approach to bridging this gap is hybridization – for instance, incorporation of a subsymbolic system and a symbolic system into a integrative cognitive architecture. Here we present a detai...

médée d’anouilh, resurgie des profondeurs de la mythologie, met en scène la mère passionnée et infanticide. atteinte de la démesure, médée sacrifie tout pour l’amour de jason. mais confrontée à la trahison, elle met une fin sanglante à sa passion débordée. médée d’anouilh se diffère de médée antique par ce fait qu’elle refuse de continuer à vivre dans le monde des médiocres, par-là elle préfère...