...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...

... ,” Proceedings of the 6th National Conference on Artificial Intelligence , Seattle, WA , May 4–6 . [8] McDermott , J. , 1982 , “ R1: A Rule-Based Configurer of Computer Systems ,” Artif. Intell. , 19 ( 1 ), pp. 39 – 88 . 10.1016/0004-3702(82)90021-2 [9] Felfernig , A. , Hotz , L...

... Corresponding author. Email: m.moghaddam@northeastern.edu generative design generative adversarial networks design evaluation desirability design diversity user-centered design artificial intelligence data-driven design design automation References [1] Liu , Y.-C...

... products by artificial intelligence design approach A computationally efficient real-time vehicle and speed detection using federated learning Automatic mechanical footstep power tiller machine Design of production information retrieval system Table 5 Novice and experienced...

...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...

... processing multi-instance inference language model text-to-text transfer transformer (T5) artificial intelligence machine learning product development References [1] Schaffhausen , C. R. , and Kowalewski , T. M. , 2015 , “ Large-Scale Needfinding: Methods of Increasing...

...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...

... not possess high performance or desired properties after fabrication. National Science Foundation 10.13039/100000001 OAC 1835782 Northwestern University 10.13039/100007059 McCormick catalyst grant artificial intelligence data-driven design design for manufacturing design...

... 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...

... Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 08 02 2022 11 07 2022 15 07 2022 08 08 2022 artificial intelligence machine learning systems design systems engineering reinforcement learning interpretable AI...

... 2022 17 06 2022 21 07 2022 Email: ndehaibi@stanford.edu Email: aiyannah@stanford.edu Email: drattana@stanford.edu Email: erinmacd@stanford.edu artificial intelligence cognitive-based design data-driven design design automation design for humans design...

...Joshua T. Gyory; Kenneth Kotovsky; Christopher McComb; Jonathan Cagan This brief extends prior research by the authors on studying the impacts of interventions provided by either a human or an artificial intelligence (AI) process manager on team behaviors. Our earlier research found that a created...

...Yu Ao; Yunbo Li; Jiaye Gong; Shaofan Li In this work, we have developed a data-driven artificial intelligence (AI) solution to assist the ship hull design process. Specifically, we have developed and implemented an AI-based multiple-input neural network model to realize the real-time prediction...

... 2022 deep learning ship hull design design synthesis design optimization computational fluid dynamics artificial intelligence computer-aided design data-driven design Maritime transport plays an essential role in international trade and the global economy. It is reported...

... Variational Gaussian Process Classification ,” Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics , San Diego, CA , May 9–12 , pp. 351 – 360 . [33] Williams , R. J. , and Zipser , D. , 1989 , “ A Learning Algorithm for Continually Running Fully...

... Design Engineering Technical Conferences , Computer-Aided Design Journal , International Conference on Engineering Design, and Artificial Intelligence for Engineering Design, Analysis, and Manufacturing Journal . This helped us identify an initial set of seed papers. From all search results identified...

.... , and Patel , A. B. , 2020 , “ Towards a Better Understanding and Regularization of GAN Training Dynamics ,” Uncertainty in Artificial Intelligence , Tel Aviv, Israel , July 22–25, 2019 , PMLR , pp. 281 – 291 . [40] Wang , L. , Chan , Y.-C. , Ahmed , F. , Liu , Z. , Zhu , P...

... artificial intelligence computer-aided design conceptual design data-driven design design automation design methodology design optimization generative design machine learning Ministry of Trade, Industry and Energy 10.13039/501100003052 20008429 Over the past few decades, tire...