Machine learning offers the intriguing possibility of automatically capturing the patterns that arise in various design domains, in particular via generative modeling. By leveraging the general tool of distribu
Mechanistic artificial intelligence (mechanistic-AI) for modeling, design, and control of advanced manufacturing processes: Current state and perspectives 6.3.3 Process-informed design exploration using generative models Recent advancements in generative models, such as GANs, opened new possibilities to disco...
Deep generative modeling has a strong potential to accelerate drug design. However, existing generative models often face challenges in generalization due to limited data, leading to less innovative designs with often unfavorable interactions for unseen target proteins. To address these issues, we propose...
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Fusion 360 from Autodesk:Fusion 360 offers users a powerful set of modeling tools, including sketching, direct modeling, surface modeling, parametric modeling, mesh modeling, rendering, and much more. Its generative design capabilities enable users to identify design requirements, constraints, materials...
While the advent of 3D modeling did much to improve the clarity and understanding of building design, VR has taken things to the next level. Read More • Trend Article Beyond Form: Generative Design and AI in AEC While early applications focused on form and structure, AI is now being...
The crystal diffusion variational autoencoder (CDVAE) is a machine learning model that leverages score matching to generate realistic crystal structures that preserve crystal symmetry. In this study, we leverage novel diffusion probabilistic (DP) models to denoise atomic coordinates rather than adopting ...
雨过：从仿真到生成generativeMoMaskMoMask: Generative Masked Modeling of 3D Human Motions是arXiv23...
2.1. Parametric modeling and generative design As Performance-Based Design, Generative Design (GD), and Parametric Modeling are all well-known concepts in the AEC field, we are not going to cover them in-depth in the scope of this work. Instead, we introduce and motivate our proposed AI-gui...
Machine learning models are typically classified into discriminative and generative models. Both serve different purposes in ML, each with a unique approach to understanding data. Generative modeling contrasts with discriminative modeling, which identifies existing data and can be used to classify data. ...