With advances in hardware, instruction set architectures are undergoing continual evolution. As a result, compilers are under constant pressure to adapt and take full advantage of...
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
We propose an architecture for a real-time multimodal system, which provides non-contact, adaptive user interfacing for Computer-Assisted Surgery (CAS). The system, called M/ORIS ...
There is today little doubt on the fact that a high-performance and cost-effective Network-on-Chip can only be designed in 45nm and beyond under a relaxed synchronization assumpti...
Daniele Ludovici, Alessandro Strano, Georgi Nedelt...
Abstract. Active mathematical documents are distinguished from traditional paper-oriented ones by their ability to interactively adapt to a reader’s inputs. This includes changes...