... Emails: ihazra@umd.edu ; ihazra@iitkgp.ac.in reliability-based optimization health monitoring operational profile planning unmanned surface vessel artificial intelligence computer-aided engineering design optimization multi-objective optimization reliability in design uncertainty analysis...

... esign . 15 06 2023 16 11 2023 21 11 2023 30 11 2023 Email: zzanjani@uci.edu Email: yousefpo@uci.edu Email: mshisheh@uci.edu Email: raminb@uci.edu artificial intelligence Data-driven design Design of engineered materials system design optimization design...

... of underlying needs can be serendipitous and unrepresentative. This paper aims to provide insights from artificial intelligence research to indicate the future direction of AI-driven human-centered design, considering the essential role of empathy. Specifically, we conduct an interdisciplinary investigation...

... network scalar vector graphics explainable AI feature recognition design automation machine learning signal processing data-driven design design visualization product design artificial intelligence Division of Civil, Mechanical and Manufacturing Innovation 10.13039/100000147 CMMI...

... materials deep generative model curvature functional design representation artificial intelligence generative design machine learning structural optimization Division of Civil, Mechanical and Manufacturing Innovation 10.13039/100000147 2142290 By designing the microstructures...

...-perspective knowledge extraction document understanding phrase-level dataset language model text classification sentence-design entity mapping artificial intelligence conceptual design design automation machine learning As the amount of textual material grows daily, there is a great need...

... ournal of M echanical D esign . 19 09 2022 22 05 2023 22 05 2023 23 06 2023 artificial intelligence computer-aided design design for manufacturing generative design U.S. Army Research Laboratory 10.13039/100006754 50114.5.9.1130260 Additive...

... that with the SMapNN, TO designs of millions of elements can be completed within a few minutes on a personal computer. topology optimization convolutional neural network machine learning artificial intelligence computer-aided design conceptual design design optimization simulation-based design...

...Jana I. Saadi; Maria C. Yang Generative design tools empowered by recent advancements in artificial intelligence (AI) offer the opportunity for human designers and design tools to collaborate in new, more advanced modes throughout various stages of the product design process to facilitate...

...Guanglu Zhang; Ayush Raina; Ethan Brownell; Jonathan Cagan Advances in artificial intelligence (AI) offer new opportunities for human–AI cooperation in engineering design. Human trust in AI is a crucial factor in ensuring an effective human–AI cooperation, and several approaches to enhance human...

...-by-analogy called bio-inspired design (BID). Although BID as a design method has been proven beneficial, the gap between biology and engineering continuously hinders designers from effectively applying the method. Therefore, we explore the recent advance of artificial intelligence (AI) for a data-driven...

... of customers can be met to the greatest extent [ 2 – 4 ]. artificial intelligence computer-aided design data-driven design design for manufacturing design methodology 09 07 2022 04 12 2022 09 12 2022 10 01 2023 Contributed by the Design Automation Committee of ASME...

... Grammars ,” Environ. Plann. B: Plann. Des. , 7 ( 3 ), pp. 343 – 351 . 10.1068/b070343 [56] Holland , J. H. , 1992 , Adaptation in Natural and Artificial Systems: An Introductory Analysis With Applications to Biology, Control, and Artificial Intelligence , MIT Press , Cambridge, MA...

... to practice EDPE. A computational system is not susceptible to the challenges associated with the natural EDPE process discussed in Sec. 2.2 [ 54 ]. Hence, it could be used to support EDPE. The “garbage can” model discussed in Sec. 2.1 could be computationally mimicked using artificial intelligence...

...Ayush Raina; Jonathan Cagan; Christopher McComb Building an Artificial Intelligence (AI) agent that can design on its own has been a goal since the 1980s. Recently, deep learning has shown the ability to learn from large-scale data, enabling significant advances in data-driven design. However...

... 12 2022 user-centered design text summarization natural language processing multi-instance inference language model text-to-text transfer transformer (T5) artificial intelligence machine learning product development Directorate for Engineering 10.13039/100000084 2050052...

...Leah Chong; Ayush Raina; Kosa Goucher-Lambert; Kenneth Kotovsky; Jonathan Cagan Decision-making assistance by artificial intelligence (AI) during design is only effective when human designers properly utilize the AI input. However, designers often misjudge the AI’s and/or their own ability, leading...

... Foundation 10.13039/100000001 OAC 1835782 Northwestern University 10.13039/100007059 McCormick catalyst grant artificial intelligence data-driven design design for manufacturing design optimization generative modeling robust design uncertainty modeling 26 04 2022 29 09...

... Terms of the Functional Basis ,” ASME J. Mech. Des. , 133 ( 2 ), p. 021007 . 10.1115/1.4003249 [29] Shu , L. , 2010 , “ A Natural-Language Approach to Biomimetic Design ,” AI EDAM: Artificial Intelligence for Engineering Design, Analysis, and Manufacturing , 24 , pp. 507 – 519...

... ,” The Thirty-Second AAAI Conference on Artificial Intelligence , Vol. 32, New Orleans, LA , Feb. 2–7 . [25] Jiang , J. , and Lu , Z. , 2018 , “Learning Attentional Communication for Multi-Agent Cooperation,” preprint arXiv:1805.07733. [26] Yang , Y. , Luo , R. , Li , M...