New Challenges in Neural Computation (NC2)

Workshop of the GI-Fachgruppe Neuronale Netze and the German Neural Networks Society in connection to DAGM 2012, Graz

[Home][Call for Papers][Program]

Neural computation and biologically inspired data processing systems constitute essential topics in artificial intelligence accompanied by a well established theoretical foundation and numerous successful applications in science and industry. Caused by an increasing complexity of the involved data and underlying tasks, modern information processing continues to pose challenging tasks to the field which are far from being solved. The goal of the workshop is to figure out paradigms, concepts, and models to extend neural systems to these situations and to identify good benchmark scenarios in which to test advanced capacities of model systems.

Important Dates

Submissions should be send as pdf per e-mail to Barbara Hammer. For details on the format see the Call for Papers.

Local Information

The workshop will take place at the Inffeld Campus of TU Graz in room i12, building Inffeldgasse 16b. Take Tram 6 to St.Peter-Schulzentrum, from there it is a 2 min walk. For the welcome reception and conference venue see this site.

Registration

Registration is available via the DAGM webpage, please indicate that you are attending NC2 to be eligible for the early registration fee.

Best presentation award

The best presentation award has been given to Sven Hellbach for his talk about the contribution Robotics with the head in the clouds by Sven Hellbach and Hans-Joachim Böhme. Congratulations!

Proceedings

Proceedings are available in electronic form in the TR series Machine Learning Reports.

Special Issue

Extended versions of the workshop contributions can be submitted to a special issue of the journal Neurocomputing. Submission is via the regular system, please tick 'Special Issue on New Challenges in Neural Computation' in the menue.

Organizers

Program Committee:

[Home][Call for Papers][Program]

ENNS The workshop is sponsored by the European Neural Networks Society
Barbara Hammer http://www.techfak.uni-bielefeld.de/~bhammer/GINN/NC2/nc2.html