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Robust Artificial Intelligence for Neurorobotics

Robust Artificial Intelligence for Neurorobotics

Bayes Centre (5th floor) and School of Informatics, University of Edinburgh (26 – 28 August 2019)

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  1. Robust Artificial Intelligence for Neurorobotics
  2. Invited speakers

Invited speakers

 

  • Biology  suggests new ways for making networks of spiking neurons useful in  robotics – Prof. Dr. Wolfgang Maass, Institut fuer Grundlagen der  Informationsverarbeitung, Technische Universitaet Graz
  • Neuromorphic Square, or: Where predictive processing and robotics meet – Dr. ir. Johan Kwisthout, Donders Centre for Cognition, Nijmegen. Slides
  • Active Inference, a  Neurobiological AI? – Dr. Rosalyn J. Moran, Institute of Psychiatry, Psychology and  Neuroscience, King’s College London

 

  • The SpiNNaker Project – Prof. Steve Furber, School of Computer Science, The University of  Manchester. Slides
  • Title TBC – Mike Davies, Director, Neuromorphic Computing Lab, Intel Labs
  • Recent applications of neuromorphic hardware to robotics and AI – Prof. Chris Eliasmith, Centre for Theoretical Neuroscience, University  of Waterloo
  • Neuromorphic Electronic Circuits and Systems  for Building Autonomous Cognitive Agents – Prof. Giacomo Indiveri, Institute of Neuroinformatics, University of  Zurich and ETH Zurich

 

  • Title TBC – Dr. Janos Rohaly, GelSight, Inc.
  • Neuronal Attractor Dynamics: Controlling Behavior and  Learning using Neuromorphic Hardware in Real World – Dr. Yulia Sandamirskaya, Institute of Neuroinformatics, UZH / ETH  Zurich. Slides
  • Title TBC – Dr. Ashish Kapoor, Microsoft Research, Redmond
  • Safe and Robust Deep Learning – Prof. Martin Vechev, Department of Computer Science, ETHZ Zurich
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