We consider reservoirs in the form of liquid state machines, i.e., recurrently connected networks spiking neurons with randomly chosen weights. So far only weights a linear readout were adapted for specific task. wondered whether performance machines can be improved if recurrent are purpose, rather than randomly. After all, connections brain also not assumed to chosen. Rather, these probably op...

Children learn causal relationships quickly and make far-reaching causal inferences from what they observe. Acquiring abstract causal principles that allow generalization across different causal relationships could support these abilities. We examine children’s ability to acquire abstract knowledge about the forms of causal relationships and show that in some cases they learn better than adults...

key factor in the successful application of a tunnel boring machine (TBM) in tunneling is the ability to develop accurate penetration rate estimates for determining project schedule and costs. Thus establishing a relationship between rock properties and TBM penetration rate can be very helpful in estimation of this vital parameter. However, this parameter cannot be simply predicted since there ...