5 citations · 10 across the 4 of their papers we have counts for
4 papers
BMW Agents -- A Framework For Task Automation Through Multi-Agent Collaboration
Noel Crawford, Edward B. Duffy, Iman Evazzade +5
Autonomous agents driven by Large Language Models (LLMs) offer enormous potential for automation. Early proof of this technology can be found in various demonstrations of agents so…
QISS: Quantum Industrial Shift Scheduling Algorithm
Anna M. Krol, Marvin Erdmann, Rajesh Mishra +5
In this paper, we show the design and implementation of a quantum algorithm for industrial shift scheduling (QISS), which uses Grover's adaptive search to tackle a common and impor…
Quantum Inspired Optimization for Industrial Scale Problems
William P. Banner, Shima Bab Hadiashar, Grzegorz Mazur +7
Model-based optimization, in concert with conventional black-box methods, can quickly solve large-scale combinatorial problems. Recently, quantum-inspired modeling schemes based on…
Synthetic Image Data for Deep Learning
Jason W. Anderson, Marcin Ziolkowski, Ken Kennedy +1
Realistic synthetic image data rendered from 3D models can be used to augment image sets and train image classification semantic segmentation models. In this work, we explore how h…