A Machine Learning (ML) System known as ROAMS (Ranker for Open-Auto Maintenance Scheduling) was developed to create failure-susceptibility rankings for almost one thousand 13.8kV-...
Philip Gross, Albert Boulanger, Marta Arias, David...
We investigate the application of multi-agent systems to develop intelligent information interfaces for connected communities, a class of computer applications aimed at enhancing ...
As computers inevitably begin to replace humans as the drivers of automobiles, our current human-centric traffic management mechanisms will give way to hyper-efficient systems and...
Mark Van Middlesworth, Kurt M. Dresner, Peter Ston...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
This case study illustrates how the adoption of AI technology can bene t smaller companies as well as major corporations. Pindar Set is a small UK company which has originated the...
Gail Anderson, Andrew Casson-du Mont, Ann Macintos...