May 3, 2024, 4:52 a.m. | Xingyu Li, Fei Tao, Wei Ye, Aydin Nassehi, John W. Sutherland

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.00958v1 Announce Type: new
Abstract: In this study, we introduce Generative Manufacturing Systems (GMS) as a novel approach to effectively manage and coordinate autonomous manufacturing assets, thereby enhancing their responsiveness and flexibility to address a wide array of production objectives and human preferences. Deviating from traditional explicit modeling, GMS employs generative AI, including diffusion models and ChatGPT, for implicit learning from envisioned futures, marking a shift from a model-optimum to a training-sampling decision-making. Through the integration of generative AI, GMS …

abstract array arxiv autonomous chatgpt cs.ai cs.hc cs.lg cs.sy diffusion diffusion models eess.sy flexibility generative human manufacturing modeling novel production study systems type

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US