Optimize Vehicle Design & Product Development, Simulation,
Process Automation & Reduce Cost

September 09 - 11, 2024 | The Kensington Hotel, Ann Arbor, Michigan

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Yan-Ying Chen

Senior Research Scientist, Future Product Innovation team Toyota Research Institute

Yan-Ying Chen is a researcher in Computer Vision and Natural Language Processing, with a special interest in Human-Centered AI. Her research has been largely applied to enterprise AI solutions such as image report generation, consumer preference analytics, and more recently, generative vehicle design. She is currently a Senior Research Scientist in the Future Product Innovation group at Toyota Research Institute. Before that, she was fortunate to work with talented researchers at Fuji-Xero (now FujiFilm) and Columbia University. She obtained her Ph.D. in Computer Science from National Taiwan University.

Agenda Day 1

2:20 PM HEAR FROM A LEADING OEM USING GENAI TOOLS TO TRANSFORM VEHICLE DESIGN & TIME-TO-MARKET

VEHICLE DESIGN USE CASE PRESENTATION & SUBSEQUENT PANEL DISCUSSION

Find out how an AI model was built that can incorporate precise engineering constraint to maximize the performance of future cars.
Learn how to create digital prototypes of vehicles that are put through simulated real-world tests, enabling engineers to identify potential flaws early in the development process.
Understand the application of GenAI to improve product design to include features that were previously not reachable.
Hear the speaker demonstrate how to apply image generation models to vehicle design.
Gain information on how to cut number of iterations considerably and allow designers and engineers to work more closely and quickly.

Check out the incredible speaker line-up to see who will be joining Matt.

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