It has recently been observed that the node degrees of many real-world large-scale networks, such as the Internet and the Web, follow a power law distributions. Since the classical...
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Since 1990 the Web has changed from a distributed hypertext system to an efficient environment for application delivery. Due to the legacy of the Web implementation model the deve...
Martin Gaedke, Christian Segor, Hans-Werner Geller...
Application Specific Instruction-Set Processors (ASIPs) offer designers the ability for high-speed data and control processing with the added flexibility needed for late design sp...
The Mid-Ocean Studio, Brown University’s SHAPE lab, and Goldsmiths College are collaborating on a prototype system for the automatic evolution of biomimetic sculpture using stru...
Brower Hatcher, Karl Aspelund, Andrew R. Willis, J...