...-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...

... and segmentation with the part’s topology could result in further elimination of support structures. U.S. Army Research Laboratory 10.13039/100006754 50114.5.9.1130260 artificial intelligence computer-aided design design for manufacturing generative design When comparing the result...

... of tensor V , V 0 = volumes of the solid structure and the entire domain ς = damping coefficient λ = Lagrangian multiplier topology optimization convolutional neural network machine learning artificial intelligence computer-aided design conceptual design 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...

...-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...

...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...

...: 11925092@zju.edu.cn Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 09 07 2022 04 12 2022 09 12 2022 10 01 2023 artificial intelligence computer-aided design data-driven design design for manufacturing...

... artificial intelligence data-driven design design automation The generation of innovative, diverse, and user-centered design concepts is an essential phase in the early stages of the product development process and is known to have a significant impact on the quality and success of the design [ 1...

...@exeter.ac.uk Contributed by the Design Theory and Methodology Committee of ASME for publication in the J ournal of M echanical D esign . 19 06 2022 29 11 2022 09 12 2022 09 01 2023 artificial intelligence computer-aided design conceptual design creativity and concept...

...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...

... 16 09 2022 09 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...

... across all nominal designs. Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 26 04 2022 29 09 2022 30 09 2022 31 10 2022 artificial intelligence data-driven design design for manufacturing design...

...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...

... learning design by analogy sketching fixation artificial intelligence data-driven design design representation design visualization machine learning In engineering design, mental stimulation is useful to boost innovative solutions for ill-defined design problems. During conceptual design...

... , “ Counterfactual Multi-Agent Policy Gradients ,” 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...

...@stanford.edu Email: drattana@stanford.edu Email: erinmacd@stanford.edu 1 These authors contributed equally. Contributed by the Design Theory and Methodology Committee of ASME for publication in the J ournal of M echanical D esign . artificial intelligence cognitive-based 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...

... 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 that approximately 80% of global trade by volume and over 70% of global trade by value...

... of this work was published in ASME 2021 International Design Engineering Technical Conferences. 10 11 2021 16 05 2022 20 05 2022 13 06 2022 artificial intelligence data-driven design design automation design for X machine learning mobile robots reliability in design...