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BEGIN:VEVENT
SUMMARY:IC Colloquium: Neuronal Architectures for Embodied AI and Cognitio
 n
DTSTART:20220404T100000
DTEND:20220404T110000
DTSTAMP:20260415T011225Z
UID:b3bb039cd1b45713af075524e369b9b1a515c5b4acc63414364c2023
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Yulia Sandamirskaya - Intel\nIC/SV Faculty candidate\n\nAb
 stract\nBiological neural systems show a large variety of capabilities tha
 t we would like to achieve in technological systems. These capabilities in
 clude the ability to learn on the fly (sometimes\, literally)\, to learn n
 ew tasks\, and to adapt to a large variety of environmental conditions. Or
 ganism takle the complexity of their environment with a speed and efficien
 cy as yet unreached in our digital solutions. Biological neural systems ma
 ke use of a variety of computational units\, circuit motives and network s
 tructures\, dynamics\, and learning processes that work at different spati
 al and temporal scales. Over the last few decades\, many of these units an
 d processes have been modeled theoretically and in simulation\, leading us
  to understand their basic functioning. In this talk\, I will review impor
 tant computational principles that have been derived from the study of bio
 logical neural systems. Around one or two exemplary cases from my work\, I
  will show how these principles have guided the development of functional 
 neuronal architectures capable of generating behavior and of learning in c
 losed behavioral loop\, in some cases\, literally on the fly.\n\nBio\nDr. 
 Yulia Sandamirskaya leads the Applications Research team of the Neuromorph
 ic Computing Lab at Intel. Her team develops spiking neuronal network base
 d algorithms for neuromorphic hardware to demonstrate the potential of neu
 romorphic computing in real-world applications. She has 15 years of resear
 ch experience in the fields of neural dynamics\, embodied cognition\, and 
 autonomous robotics.  She led a research group “Neuromorphic Cognitive 
 Robots” at the Institute of Neuroinformatics of the University of Zurich
  and ETH Zurich\, Switzerland and the “Autonomous learning” group at t
 he Institute for Neural Computation at the Ruhr-University Bochum (RUB)\, 
 Germany. She has coordinated the EU H2020 project NEUROTECH that aimed to 
 create and support the neuromorphic computing community in Europe and co-c
 haired EUCog -- the association for artificial cognitive systems.\n\nMore 
 information
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420 https://epfl.zoom.us/
 j/64609816123?pwd=TnRKejhreVBpNFBKMEtVYk94V0tCdz09
STATUS:CONFIRMED
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