What if you can come up with thousands of options for a single design without drawing? This is generative design - harnessing massive computing power, achiev...
Challenges in Generative Design for Automotive (EV) Industry | Neural Concept
The core concept of Generative Design is 'computational creativity'. The keywords here are 'explore' and 'optimize': Algorithms, in combination with objectives and engineering constraints, allow an exploration of the design space. The advancement in machine learning and artificial intelligence has greatly impacted generative design for Electric Vehicles manufacturing. With smarter algorithms, it helps achieving high-performance standards such as mass reduction, component optimization, material waste reduction, and streamlining the design process. We review the practical benefits and recent evolutions in generative design, particularly for EV manufacturing, with examples & use cases.
General Motors | Generative Design in Car Manufacturing | Autodesk
Using 3D printing and generative design in car manufacturing, General Motors is shaping the future of automotive design to be lighter, more efficient, and customizable.
Accenture and BMW teamed up to create a new platform that uses generative AI to drive decisions across North America, accelerating productivity and experiences.
AUTOMOTIVE - Use case | Blockchain PoC and MPV Solutions
Blockchain technology, originally designed to underpin cryptocurrencies like Bitcoin, has evolved significantly. Today, it stands poised to revolutionize various industries, with the automotive sector at the forefront. This technology promises to address many of the inherent challenges faced by the industry, from complex supply chains to evolving vehicle technologies.