[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. This year, a special focus topic will center around Autonomous learning and robotics, including two invited talks by Prof.Dr. J. Steil, director of COR-Lab, and Prof.Dr. Marc Toussaint, head of Machine Learning and Robotics Group at FU Berlin; in addition, general contributions connected to Current research in neural computation are welcome.
Barbara Hammer | http://www.techfak.uni-bielefeld.de/~bhammer/GINN/NC2/nc2.html |