Special Issue on Flexible and Adaptive Machines. Micronization of Actuators.

Special Issue on Hybrid Learning Machines

The concept of Machine Intelligence (MI) is complex, and thus many theories and definitions have emerged recently. Last few decades have seen a new era of machine intelligence focusing on the principles, theoretical aspects, and design methodology of algorithms gleaned from nature and biology. Examples are artificial neural networks inspired by mammalian neural systems, evolutionary computation...

Special issue on echo state networks and liquid state machines

Seeking plausible models for brain computation has been a continuing effort in neuroscience, computer science, biophysics and machine learning. Quite generally speaking, there are two routes toward understanding brains. In a bottom-up way, one can attempt to re-create artificial brain structures from empirical observations, whose emerging dynamics are then studied by simulation, searching for d...

Special Issue: Adaptive Grid Middleware

Grid computing research focuses on building large-scale computing infrastructures by linking computing facilities at many distributed locations. Significant effort has been spent in the design and implementation of middleware for enabling computational Grids. These software packages have been successfully deployed and it is now possible to build clusters beyond the boundaries of a single local ...

Special Issue on Recent Advances in Flexible Automation

Flexible Automation as a topic of research has been around for at least a half century. In the late 70’s, flexible manufacturing cell/systems (MFC/MFS) started playing pivotal roles in modern industry, in particular automobile industry. However, the journey of going from a theory or vision to an art or reality did not end there and then. In the last two decades, flexible automation has taken on...

Special Issue