Researchers at Ames National Laboratory are advancing the discovery of materials for rare-earth-free permanent magnets by ...

JuliaHub today announced Dyad 3.0, a major release of its AI-native systems simulation platform for the design, refinement, ...

The Tampere startup wants to rebuild physics simulation as the data engine for AI-driven hardware design. Tampere-based Quanscient has closed a €10 million Series A to scale its cloud-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 ...

The Science x AI Summit 2026 this year brought together important representatives from global research institutions, AI ...

Researchers combined deep learning with high-resolution physics to create the first Milky Way model that tracks over 100 billion stars individually. Their AI learned how gas behaves after supernovae, ...

Fortunately, the wide gap between virtual simulation and real-world execution is closing fast, driven by the advancement of homegrown technology. This breakthrough arrives as China's 15th Five-Year ...

Validated by early deployments at leading semiconductor companies, Vinci’s physics-driven AI software operates up to 1000x faster than conventional simulation tools, at higher accuracy without needing ...

In this blog we’ll cover the three new capability areas, now available on the Rescale Platform: Agentic Digital Engineering – Simulation-native prebuilt agents automate manual tasks like configuration ...

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

The PAN AI world model developed at the Mohamed bin Zayed University of Artificial Intelligence in Abu Dhabi can simulate a wide range of real-world conditions for training autonomous systems, ...