We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
While standard parallel machine scheduling is concerned with good assignments of jobs to machines, we aim to understand how the quality of an assignment is affected if the jobsâ€...
The rapid increase in network bandwidth from mega bits per second to giga bits per second and potentially to tera bits per second, is making it increasingly difficult to carry out...
To construct complete systems on silicon, application specic DSP accelerators are needed to speed up the execution of high throughput DSP algorithms. In this paper, a methodology...
Patrick Schaumont, Bart Vanthournout, Ivo Bolsens,...
Networks of small devices, such as environmental sensors, introduce a number of new challenges for traditional protocols and approaches. In particular, the extreme resource constr...