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Symposium: Advanced neuromorphic computing hardware: Towards efficient machine learning (SYNC)

Date
Mar 15, 2020 - Mar 20, 2020
Time
12:00 AM - 1:00 AM
Speaker
Various
Language
en
Main Topic
Informatik
Description

Advanced neuromorphic computing hardware: Towards efficient machine learning (SYNC)
of the divisions[nbsp]HL (leading), DS, DY[nbsp]and SOE

Organisation:
Dr. Daniel Brunner, FEMTO-ST, Besançon, Frankreich
Prof. Dr. Stephan Reitzenstein, Technische Universität Berlin
Dr. Julie Grollier, CNRS/Thales, Paris, Frankreich

[nbsp]

DPG Spring Meeting of the Condensed Matter Section in Dresden

Download Flyer (pdf in attachment)

[nbsp]

Abstract submission deadline: December 1, 2019

Conference website: https://dresden20.dpg-tagungen.de

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Last modified: Dec 6, 2019, 12:05:44 AM

Location

TUD (Bergstraße 64, 01069, Dresden - Hörsaalzentrum (HSZ))- 01069Dresden
Homepage
https://tu-dresden.de/tu-dresden/campus/orientierung/lageplaene

Organizer

cfaed - Center for Advancing Electronics DresdenBarkhausen Building II/7b, Georg-Schumann-Str.1101187Dresden
Phone
+49 351 463-41000
Fax
+49 351 463-41099
E-Mail
cfaed
Homepage
http://www.cfaed.de/
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