... 23 08 2024 26 08 2024 02 09 2024 Email: zhennhu@umich.edu Email: patrickjice@gmail.com Email: zgao@ford.com Email: yli197@ford.com Email: sbarbat@ford.com Email: jinluz@umich.edu artificial intelligence computer-aided engineering design automation...

.... , De Bie , T. , and Flach , P. , 2020 , “ Face: Feasible and Actionable Counterfactual Explanations ,” AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society , New York , Feb. 7–8 , pp. 344 – 350 . [13] Dandl , S. , Molnar , C. , Binder , M. , and Bischl...

... Email: wangli@ge.com Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 13 03 2024 27 07 2024 01 08 2024 16 08 2024 artificial intelligence Data-driven design Machine learning robust design...

...Mostaan Lotfalian Saremi; Isabella Ziv; Onur Asan; Alparslan Emrah Bayrak Intelligent systems have been rapidly evolving and play a pivotal role in assisting individuals across diverse domains, from healthcare to transportation. Understanding the dynamics of human–artificial intelligence (AI...

... constrained multi-objective optimization robustness metrics computational efficiency artificial intelligence data-driven design design automation design for manufacturing design integration design of multiscale systems design optimization machine learning metamodeling Designing...

...Xiaoneng Jin; Hua Dong; Mark Evans; Anqi Yao Artificial intelligence (AI) has the potential to revolutionize product design, and designers need to know how to best leverage its capabilities. Based on the concept–knowledge (C-K) theory, a set of inspirational stimuli (IS) for the design of AI...

...Binyang Song; Chenyang Yuan; Frank Permenter; Nikos Arechiga; Faez Ahmed Generative artificial intelligence (AI) models have made significant progress in automating the creation of 3D shapes, which has the potential to transform car design. In engineering design and optimization, evaluating...

... problem. artificial intelligence design methodology design optimization machine learning metamodeling multi-objective optimization systems design Group behavior is widespread with phenomena like ant colonies, fish swarms, bird flights, and so on. The industry has been inspired...

...Leah Chong; Kenneth Kotovsky; Jonathan Cagan As artificial intelligence (AI) systems become increasingly capable of performing design tasks, they are expected to be deployed to assist human designers' decision-making in a greater variety of ways. For complex design problems such as those...

... 05 03 2024 Graphical Abstract Figure multi-fidelity surrogate neural network machine learning mapping model different input spaces artificial intelligence computer-aided engineering metamodeling Output data from engineering systems, whether observed or predicted...

... , A. , Chen , M. , Zhang , L. , and Xu , Q. , 2023 , “ Are Transformers Effective for Time Series Forecasting? ,” Proceedings of the AAAI Conference on Artificial Intelligence , Washington, DC , Feb. 7–14 , Vol. 37 , pp. 11121 – 11128 . [33] Hochreiter , S. , and Schmidhuber , J...

.../ Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 22 09 2023 12 02 2024 13 02 2024 05 03 2024 Graphical Abstract Figure artificial intelligence data-driven design design evaluation machine learning...

... is time and resource intensive, and is often done by manual screening. In this study, we develop an artificial intelligence (AI) agent based on a bidirectional encoder representations from transformers (BERT) model and incorporate it into a human team designing an evidence synthesis product for global...

...Zeda Xu; Chloe Soohwa Hong; Nicolás F. Soria Zurita; Joshua T. Gyory; Gary Stump; Hannah Nolte; Jonathan Cagan; Christopher McComb Exploring the opportunities for incorporating Artificial Intelligence (AI) to support team problem-solving has been the focus of intensive ongoing research. However...

... that helps educators monitor the progression of the entire class of students using artificial intelligence (AI) by tracking a time-based evolution of a design statement. This approach uses various natural language processing (NLP) models to produce stock-like charts, which represent students’ and student...

... 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...

... profile planning unmanned surface vessel artificial intelligence computer-aided engineering design optimization multi-objective optimization reliability in design uncertainty analysis uncertainty modeling Office of Naval Research 10.13039/100000006 N000142212459 Unmanned...

... graph neural 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...

... 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...