Advanced Design and Manufacturing: Utilizing AI for Advanced Design

Conference Video|Duration: 26:27
October 10, 2024
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  • Video details
     
    Utilizing AI for Advanced Design
    Faez Ahmed
    ABS Career Development Assistant Professor, MIT Department of Mechanical Engineering
    Generative AI is reshaping many industries by offering innovative content-creation approaches. While tools like ChatGPT have proven effective in multimedia, their application in engineering faces unique challenges, such as maintaining precision under varying requirements. This talk will explore some of these challenges, with an emphasis on achieving designs that are innovative, feasible, and achieve high functional performance. We will examine case studies across various engineering disciplines, such as kinematic design.  Furthermore, we will explore how precision-focused generative AI can transcend mere mimicking statistical patterns to address performance, constraints, and innovation in engineering. The talk will show examples of AI-drive design co-pilots for engineering tasks, along with covering methods that effectively combine multimodal generative models with engineering optimization and tools, highlighting how this fusion augments the design process. The presentation will conclude by highlighting the broader impact of generative AI in facilitating design democratization and fostering rapid innovation across the engineering sector.
Locked Interactive transcript
Please login to view this video.
  • Video details
     
    Utilizing AI for Advanced Design
    Faez Ahmed
    ABS Career Development Assistant Professor, MIT Department of Mechanical Engineering
    Generative AI is reshaping many industries by offering innovative content-creation approaches. While tools like ChatGPT have proven effective in multimedia, their application in engineering faces unique challenges, such as maintaining precision under varying requirements. This talk will explore some of these challenges, with an emphasis on achieving designs that are innovative, feasible, and achieve high functional performance. We will examine case studies across various engineering disciplines, such as kinematic design.  Furthermore, we will explore how precision-focused generative AI can transcend mere mimicking statistical patterns to address performance, constraints, and innovation in engineering. The talk will show examples of AI-drive design co-pilots for engineering tasks, along with covering methods that effectively combine multimodal generative models with engineering optimization and tools, highlighting how this fusion augments the design process. The presentation will conclude by highlighting the broader impact of generative AI in facilitating design democratization and fostering rapid innovation across the engineering sector.
Locked Interactive transcript