Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificin...
As technology scales ever further, device unreliability is creating excessive complexity for hardware to maintain the illusion of perfect operation. In this paper, we consider whe...
Marc de Kruijf, Shuou Nomura, Karthikeyan Sankaral...
We present a technique to approximate the worst-case execution time that combines structural analysis with a loop-bounding algorithm based on local induction variable analysis. St...
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...