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From CAD to Decision Metrics and Optimal Designs in Real-time

About This Webinar

The Automotive Industry faces unprecedented challenges: major technological transformations need to take place under time and cost constraints. 

How to support this revolution and obtain outstanding engineering performances in a reduced time? Computer-Aided Engineering (CAE) has recently started to drive product design. However, CAE and optimization are still not in the hands of all engineers in automotive corporations due to bottlenecks like slow reaction time, high price and required skills.

Fortunately, recent advances in Deep-Learning are coming to help here! Neural Concept Shape (Shape) is a software platform enabling engineering teams and companies to implement new real-time CAD=>CAE workflows efficiently by exploiting the different skills between simulation, methods and design teams.

Applications of Shape in the Automotive industry cover many aspects of vehicle/component development. We will show use-cases such as:

How can Shape provide designers with the capability to assess in real-time the external aerodynamics of a new design directly from CAD?

How did Shape make it possible to improve heat exchangers' efficiency by 1.5% in an unprecedentedly short time via a revolutionary design optimization functionality?

This free webinar is ideal for decision-makers in engineering in automotive companies, product managers, design engineers and commissioning engineers who need CAE results.

The webinar will take place on Wednesday, May 12th at 3:00 pm, Eastern Daylight Time New York (GMT-4). 

Don't miss this free event as places are limited - Register here today!

Who can view: People who attended or registered for the webinar only
Webinar Price: Free
Featured Presenters
Webinar hosting presenter
Senior Technology Evangelist at Neural Concept SA
Anthony graduated in Physics from the University of Turin (Italy). Before joining Neural Concept, he has been 30 years in Computer-Aided Engineering in several roles: he started as a senior researcher for an automotive OEM and covered various engineering/management positions for Tier 1 Auto suppliers and simulation software vendors. Anthony embraced Neural Concept with the mission of helping the industry speed up design cycles and solve the next engineering challenges thanks to the power of Deep Learning.
Hosted By
Neural Concept Ltd webinar platform hosts From CAD to Decision Metrics and Optimal Designs in Real-time
Neural Concept creates AI Deep Learning algorithms for industrial engineering. By speeding up R&D cycles, augmenting product performance, and solving their next engineering challenges, we revolutionize how our customers design their products. The company was founded in 2018 in a top-notch AI research lab in Switzerland. We are a team of 30+ members fully committed to our vision, which is to revolutionize the future of industrial engineering with intelligence.
Attended (10)
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