Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Power consumption has become a major constraint in the design of processors today. To optimize a processor for energyefficiency requires an examination of energy-performance trade...
Omid Azizi, Aqeel Mahesri, Benjamin C. Lee, Sanjay...
Recently, a reconfigurable and biologically inspired paradigm based on network-on-chip (NoC) and spiking neural networks (SNNs) has been proposed as a new method of realising an ef...
Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep...
Abstract— The effectiveness of service provisioning in largescale networks is highly dependent on the number and location of service facilities deployed at various hosts. The cla...
In this paper, we discuss how our work on evaluating Semantic Web knowledge base systems (KBSs) contributes to address some broader AI problems. First, we show how our approach pr...