Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
Benjamin Schrauwen, David Verstraeten, Jan M. Van ...
With increased global interconnectivity, reliance on e-commerce, network services, and Internet communication, computer security has become a necessity. Organizations must protect ...
Paul K. Harmer, Paul D. Williams, Gregg H. Gunsch,...
Disparate algorithms are being designed to decide certain basic questions in opportunistic networks. This position paper describes a nascent idea that aims to provide a single fra...
We want to design a suitable computer for the efficient execution of the software now being developed that will display human-like cognitive abilities. Examples of these potential...
Parallel computers have the computing power needed to simulate biologically accurate neuronal network models. Partitioning is the process of cutting a model in pieces and assignin...