Despite their numerous applications, efficiently rendering participating media remains a challenging task due to the intricacy of the radiative transport equation. While numerical...
Vincent Pegoraro, Mathias Schott, Steven G. Parker
The traditional approach to assessing neurocognitive performance makes use of paper and pencil neuropsychological assessments. This received approach has been criticized as limited...
Thomas D. Parsons, Louise Cosand, Christopher G. C...
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
Network-on-Chip (NoC) architectures provide a good way of realizing efficient interconnections and largely alleviate the limitations of bus-based solutions. NoC has emerged as a so...
Kenichi Mori, Adam Esch, Abderazek Ben Abdallah, K...
We consider the problem of computing numerical invariants of programs by abstract interpretation. Our method eschews two traditional sources of imprecision: (i) the use of widenin...