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DTSTAMP:20250712T051721Z
UID:4F6F6502-3EC2-4F5B-B672-D7922E817B34
DTSTART;TZID=Europe/Vienna:20250709T100000
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DESCRIPTION:Talk of Assoc.-Prof. Dr. Jorge Torres Gómez\, Technical Univer
 sity of Berlin\, Germany\n\nDevelopments in the Molecular Communication (M
 C) field are laying the groundwork for innovative bio-inspired communicati
 on links in the healthcare sector and industry sectors. Theoretical and ex
 perimental works illustrate today’s means of monitoring and actuating ev
 ents occurring in the nanoscale domain through the Internet. However\, MC 
 links pose new challenges in the dynamic environments of molecules and bio
 -entities like cells\, where a communication system is complex to describe
  and develop through relying on a full knowledge of the physical channel. 
 Relying on the flexibility and robustness of Machine Learning (ML) methods
 \, the research community is increasingly contributing by including Neural
  Network (NN) architectures within the MC pipeline. The research field inc
 ludes various facets as developed by the community: Deployment of NNs to e
 nable communications in MC environments\, their implementation in the nano
 scale\, explainable approaches for NNs\, and datasets generation for train
 ing. This talk aims to provide insights in the evolution of today’s join
 t field MC and NNs.\n\nCo-sponsored by: Johannes Kepler University Linz\n\
 nSpeaker(s): Jorge Torres Gómez\n\nRoom: MT 128\, Bldg: Science Park 1\, 
 Johannes Kepler University Linz\, Altenbergerstr. 69\, Linz\, Oberosterrei
 ch\, Austria\, 4040
LOCATION:Room: MT 128\, Bldg: Science Park 1\, Johannes Kepler University L
 inz\, Altenbergerstr. 69\, Linz\, Oberosterreich\, Austria\, 4040
ORGANIZER:werner.haselmayr@jku.at
SEQUENCE:18
SUMMARY:Talk @ JKU: Communicating Smartly at the Nanoscale - Neural Network
 s Developments in Molecular Communication
URL;VALUE=URI:https://events.vtools.ieee.org/m/490066
X-ALT-DESC:Description: <br /><p>Talk of Assoc.-Prof. Dr. Jorge Torres G&oa
 cute\;mez\, Technical University of Berlin\, Germany</p>\n<p>Developments 
 in the Molecular Communication (MC) field are laying the groundwork for in
 novative bio-inspired communication links in the healthcare sector and ind
 ustry sectors. Theoretical and experimental works illustrate today&rsquo\;
 s means of monitoring and actuating events occurring in the nanoscale doma
 in through the Internet. However\, MC links pose new challenges in the dyn
 amic environments of molecules and bio-entities like cells\, where a commu
 nication system is complex to describe and develop through relying on a fu
 ll knowledge of the physical channel. Relying on the flexibility and robus
 tness of Machine Learning (ML) methods\, the research community is increas
 ingly contributing by including Neural Network (NN) architectures within t
 he MC pipeline. The research field includes various facets as developed by
  the community: Deployment of NNs to enable communications in MC environme
 nts\, their implementation in the nanoscale\, explainable approaches for N
 Ns\, and datasets generation for training. This talk aims to provide insig
 hts in the evolution of today&rsquo\;s joint field MC and NNs.</p>
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