Neural Concept and Bosch Collaborate on 3D Deep Learning Applications for Faster Engineering Decision Loops
Neural Concept and Bosch Research collaborated over the past months on a set of successful applications of 3D geometric deep learning to accelerate simulation driven engineering workflows.
More particularly, we achieved promising results on E-Drive motor housing simulations. Bosch Research engineers trained a deep Geometric Convolutional Neural Network (GCNN) to emulate accurately, in a few ms, the fully fledged Finite Element software.
These successful results encouraged Bosch Research to continue the collaboration with Neural Concept on a further application of shape design optimization.
–Roland Schirrmacher, Structural Dynamics and Acoustics engineer at Bosch
Founded in 2019, Neural Concept provides the leading AI-first engineering platform for product development. By embedding AI natively into design and simulation workflows, Neural Concept empowers engineering teams to compress development cycles from months to days, improve product performance across efficiency, safety, and sustainability, and scale AI adoption without costly, years-long integration.
The company drives product development across major industries, including automotive, aerospace, energy, consumer electronics, semiconductors and defense, working with the world’s leading global OEMs and component suppliers. Neural Concept was spun out of the Swiss Federal Institute of Technology in Lausanne (EPFL) and is backed by global investors, including Forestay Capital and D. E. Shaw Ventures. Visit https://www.neuralconcept.com for more information.
