Massive Sets of Heuristics
The MASH project investigates the design of complex learning systems to increase the performance of artificial intelligence. To create such systems, we want to involve large groups of contributors from as many fields and backgrounds as possible, to program large and heterogeneous families of feature extraction modules.
Performance will be measured on action selection with a robotic arm and in a simulated 3d environment, and object detection.
Research is organized on this web platform, and anybody with some knowledge in C++ is strongly encouraged to participate, whatever her or his background and expertise are. You can not hurt the system by getting involved but only improve it, so do not hesitate to contribute or contact us.
This project is funded by the Information and Communication Technologies division of the European Commission, Cognitive Systems and Robotics unit, under the 7th Research Framework Program. The sub-project VELASH on object detection is funded by the Swiss National Science Foundation.