← All reports

AI models trained on physics simulations are significantly reducing the time required for engineering design and development processes.

AIEngineeringTechnologyApr 27, 2026score 0.172 posts · 0 replies across 1 instances
The thread discusses how AI models trained on physics simulations are accelerating engineering design and development processes, using General Motors' in-house model as an example. This highlights the potential of AI to significantly reduce time consumption in complex engineering tasks.

Claims

AI models trained on physics simulations are significantly reducing the time required for engineering design and development processes.
Parent: AIEntity: AI models trained on physics simulationsImpact: positiveDate: Apr 27, 2026Target: AI models trained on physics simulations are significantly reducing the time required for engineering design and development processes.

Source posts

@[email protected]
AI models trained on physics simulations are speeding up design and development across engineering. General Motors’ in-house large physics model returns results in a matter of minutes for a process that used to take weeks. https://spectrum.ieee.org/large-physics-models-design-engineering?utm_source=mastodon&utm_medium=social&utm_campaign=fedica-Mastodon-Daily-Pipeline
0 boosts · 0 favs · 0 replies · Apr 27, 2026
@[email protected]
#AI models trained on physics simulations are speeding up design and development across engineering. General Motors’s in-house large physics model returns results in a matter of minutes for a process that used to take weeks. spectrum.ieee.org/large-physic...
0 boosts · 0 favs · 0 replies · Apr 27, 2026
#ai
@[email protected]
AI models trained on physics simulations are speeding up design and development across engineering. @generalmotors’s in-house large physics model returns results in a matter of minutes for a process that used to take weeks. https://spectrum.ieee.org/large-physics-models-design-engineering #AI Threads
0 boosts · 0 favs · 0 replies · Apr 27, 2026