By Design: How AI is Reinventing Product CreationMay 9, 2017
Deep learning is coming to 3D design. Just ask Dassault Systèmes.
The company’s 3DExperience Platform is used for everything from Tesla cars and Boeing airplanes to Procter & Gamble consumer products. Now, Dassault Systèmes is amping up 3D design and simulation with deep learning and GPUs.
“What people have done with deep learning for image and speech recognition, we’re doing to transform how products are designed and experienced,” said Patrick Johnson, vice president for corporate research at the 3D modeling software company.
How AI Helps Designers
Traditionally, designers and engineers had to start each new product from scratch.
With NVIDIA GPUs and deep learning, Dassault Systèmes will soon be able to harness the history of previous designs. The system’s 3Dbots use this knowledge to predict and propose a whole new range of designs in a exploratory innovation space. Romain Perron, R&D web apps and services director for the company’s flagship CATIA brand, explained these cognitive augmented design 3Dbots in more detail at the GPU Technology Conference,
“From there, you just select the ones you want for faster and better design, leveraging know-how and past designs,” Johnson said. Engineers can use the company’s software to plan the ideal manufacturing process and see how their design will function in the real world.
3D Design at GTC
The company was out in force at GTC with sessions covering topics such as how it’s using deep learning, virtual and augmented reality, and NVIDIA Iray rendering software to advance 3D modeling:
- Enterprise AR: Industry Opportunities and Technology Challenges – Wednesday, May 10, 4:30 p.m., Room 230A
- Homebyme: How Iray, VCA, Deep Learning and VR Helps You Experience Your New Apartment – Thursday, May 11, 9 a.m., Room 230C
- Cognitive Augmented Design with AI-Powered 3DExperience – Thursday, May 11, 11 a.m., Room 230C
To learn more about how AI computing is transforming industries, watch for replays of these and other talks from the GPU Technology Conference, May 8-11, in Silicon Valley.