How General Motors uses Neural Concept
11 vehicle programs
vehicle programs used to train the AI co-pilot
As published on neuralconcept.com. Captured by usedby on Oct 8, 2026.
What happened
General Motors trained a Neural Concept AI co-pilot on its internal crash simulation data to predict pedestrian safety metrics such as Head Injury Criterion for new vehicle designs, as an alternative to relying only on finite element simulations. It is first used by vulnerable road user safety specialists, with a plan to extend it to designers earlier in the process.
Summary written by usedby from the source page, in English. The figures are those of Neural Concept and General Motors, not ours.
- 100 impact locations“more than 100 impact locations per vehicle”
In GM’s case, engineers fed NC’s AI co-pilot with internal crash simulation data, spanning 11 vehicle programs, regulatory standards (GTR or NCAP), and more than 100 impact locations per vehicle, for both adults and children.
This collaboration is helping us structure and define a roadmap that will enable us to integrate these innovative methodologies effectively across our organization, ensuring we can fully leverage their capabilities to enhance efficiency in enfineering workflows, enabling faster exploration of design possibilities
What the story claims, and what we checked
We compared the story with its live page on Oct 8, 2026.
- The figure: 11 vehicle programsCheckedThe figure is on the page; its label is our wording.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of General Motors.
- General Motors uses Neural ConceptCheckedConfirmed line. Latest check across sources: Oct 8, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.
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