11.15-16.23-RD-Ahmed

• Video details

  Advances in Artificial Intelligence are transforming industries by discerning patterns in vast data sets and delivering accurate predictions. Notably, Generative AI is poised to reshape engineering product design, heralding new avenues of innovation. While tools like ChatGPT and Dall-E have shown significant potential in multimedia applications, design synthesis presents distinct challenges. This talk will probe these challenges, emphasizing the quest for realistic and high-performance designs. We'll unveil emerging generative AI methods addressing precision, constraints, and novelty, and present solutions to navigate these hurdles. A central theme will be the synergy of deep generative models with engineering optimization techniques, spotlighting how this fusion augments the design process. We'll wrap up by highlighting the transformative implications of these methodologies in fields like aerospace, robotics, and transportation, underscoring the impact of generative optimization on design democratization and engineering innovation.

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