Machine learning algorithms can predict which candidates are more likely to succeed in a given role by analyzing past hiring ...
Abstract: In response to escalating market demands, we extend the distributed assembly flowshop problems (DAFSPs) by incorporating batch delivery, optimizing both total energy consumption (TEC) and ...
New research from Sandia National Laboratories suggests that brain-inspired neuromorphic computers are just as adept at ...
Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...