The whole computer hardware industry embraced multicores. For these machines, the extreme optimisation of sequential algorithms is no longer sufficient to squeeze the real machine ...
Marco Aldinucci, Salvatore Ruggieri, Massimo Torqu...
We consider the job shop scheduling problem unit−Jm, where each job is processed once on each of m given machines. Every job consists of a permutation of tasks for all machines....
Background: The application of machine learning to classification problems that depend only on positive examples is gaining attention in the computational biology community. We an...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
Using Asimov's "Bicentennial Man" as a springboard, a number of metaethical issues concerning the emerging field of Machine Ethics are discussed. Although the ultim...
We present a novel approach to machine learning, called ABML (argumentation based ML). This approach combines machine learning from examples with concepts from the field of argum...
An advanced processing machine interacts with the material handling system, personnel and cell or shop floor controller in real-time via messaging and control. However, current si...
Simulation is used to verify the feasibility of the design of manufacturing cells. The cell design, which combines new and existing machines in a component manufacture, is present...
Shahram Taj, David S. Cochran, James W. Duda, Joch...
For half a century, artificial intelligence researchers have focused on giving machines linguistic and mathematical-logical reasoning abilities, modeled after the classic linguist...
In this paper we consider the online scheduling of jobs, which require processing on a number of machines simultaneously. These jobs are presented to a decision maker one by one, ...
We discuss challenges and opportunities for developing generalized task markets where human and machine intelligence are enlisted to solve problems, based on a consideration of th...