Ansys has introduced SimAI, a cloud-native, AI-powered simulation platform designed to make advanced engineering analysis ...

Customers can also predict geometry performance with built-in validation against high-fidelity CFD results to support faster, ...

Breakthroughs in Neural Rendering, GPU Innovation, and Generative AI Take Center Stage With Speakers From NVIDIA, Bolt ...

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 ...

On the 24th, KRAFTON CEO Kim Chang-han met with AWS CEO Matt Garman at the Amazon Web Services (AWS) headquarters in Seattle ...

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 ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

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 ...

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 ...

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