Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
The MILAN project, a joint effort involving Arizona State University and New York University, has produced and validated fundamental techniques for the realization of efficient, r...
Automated addition of fault-tolerance to existing programs is highly desirable, as it allows the designer to focus on the system behavior in the absence of faults and leave the fa...
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
This sketch presents the design and preliminary results of a study that investigates the transference of motor skills learned in a haptic-enabled virtual environment to performanc...
Christopher Sewell, Nikolas H. Blevins, Sumanth Pe...