Ansys has introduced SimAI, a cloud-native, AI-powered simulation platform designed to make advanced engineering analysis accessible to both specialists and non-experts. Officially added to the ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining their accuracy. The approach retains physics-based ...

Dyad AI from JuliaHub is bringing an AI-for-Science environment to product development. Users can model and interrogate systems, research formulations, derive governing equations, assemble models, run ...

Design engineering is running headfirst into a materials bottleneck. Industries such as automotive, aerospace, electronics, and semiconductors now depend on increasingly complex materials. Yet ...

During surgery to correct an abnormal heartbeat, doctors rely on a mix of imaging and inference. Still, many critical details remain hidden. At RIT, artificial intelligence (AI) researchers want to ...

On the same day IEEE Spectrum reported that General Motors had compressed two weeks of aerodynamics analysis into a matter of minutes using AI trained on simulation data, the broader field that made ...

Scientists found that transfer learning can make the search for new physics in the universe much faster, slashing the need for expensive simulations. Yet the approach can backfire when AI relies too ...

London-based PhysicsX raised $300M in a Temasek-led Series C at a $2.4bn valuation, more than doubling in under a year. The F1-founded AI startup cuts engineering simulation from days to seconds and ...

Engineering AI startup PhysicsX secures $300M in fresh funding, reaching a $2.4B valuation as it scales simulation technology.

SIGGRAPH 2026, the world's premier conference on computer graphics and interactive techniques, is proud to announce its ...