We describe an architecture-centric design and implementation approach for building self-adapting and selfmanaging robotics systems. The basis of our approach is the concept of me...
George Edwards, Joshua Garcia, Hossein Tajalli, Da...
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with e...
Abstract In this paper we propose an extensible architecture for database engines where satellite databases are used to scale out and implement additional functionality for a centr...
Abstract— Hardware implementations of Spiking Neural Networks are numerous because they are well suited for implementation in digital and analog hardware, and outperform classic ...
Benjamin Schrauwen, Michiel D'Haene, David Verstra...
— Interrupt-based programming is widely used for interfacing a processor with peripherals and allowing software threads to interact. Many hardware/software architectures have bee...
Antonino Tumeo, Marco Branca, Lorenzo Camerini, Ma...