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RISGenerative Transformers for Design Concept Generation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Generating novel and useful concepts is essential during the early design stage to explore a large variety of design opportunities, which usually requires advanced design thinking ability and a wide range of knowledge from ...
Biologically Inspired Design Concept Generation Using Generative Pre-Trained Transformers
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Biological systems in nature have evolved for millions of years to adapt and survive the environment. Many features they developed can be inspirational and beneficial for solving technical problems in modern industries. ...
Generative Transformers for Design Concept Generation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Generating novel and useful concepts is essential during the early design stage to explore a large variety of design opportunities, which usually requires advanced design thinking ability and a wide range of knowledge from ...
Toward Artificial Empathy for Human-Centered Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In the early stages of the design process, designers explore opportunities by discovering unmet needs and developing innovative concepts as potential solutions. From a human-centered design perspective, designers must ...
Data-Driven Platform Design: Patent Data and Function Network Analysis
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A properly designed product-system platform seeks to reduce the cost and lead time for design and development of the product-system family. A key goal is to achieve a tradeoff between economy of scope from product variety ...
Machine Learning-Based Design Concept Evaluation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In order to develop novel solutions for complex systems and in increasingly competitive markets, it may be advantageous to generate large numbers of design concepts and then to identify the most novel and valuable ideas. ...
Deriving Design Feature Vectors for Patent Images Using Convolutional Neural Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The patent database is often used by designers to search for inspirational stimuli for innovative design opportunities because of the large size, extensive variety, and the massive quantity of design information contained ...
Reading Users' Minds With Large Language Models: Mental Inference for Artificial Empathy in Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In human-centered design, developing a comprehensive and in-depth understanding of user experiences—empathic understanding—is paramount for designing products that truly meet human needs. Nevertheless, accurately comprehending ...
Patent Data for Engineering Design: A Critical Review and Future Directions
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Patent data have long been used for engineering design research because of its large and expanding size and widely varying massive amount of design information contained in patents. Recent advances in artificial intelligence ...
Engineering Knowledge Graph From Patent Database
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: We propose a large, scalable engineering knowledge graph, comprising sets of real-world engineering “facts” as <