This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

Researchers at the Center for Computational Sciences, University of Tsukuba, have developed an accessible platform to overcome the limitations of conventional static docking simulations, offering new ...

Enhanced Simulation Product development programs require rapid iteration on boundary conditions and load cases, but full-fidelity simulations dema ...

Decoupling application logic from hardware lets engineers test firmware on host machines instead of waiting for dev boards.

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

McLaren Automotive has introduced an AI-driven engineering platform designed to integrate data, simulation and design ...

New design, verification and simulation solutions to re-engineer AI-powered product innovation at Synopsys Converge 2026.

Researchers have pushed quantum chip design into a new era by simulating every physical detail before fabrication. Using a supercomputer with nearly 7,000 GPUs, they modeled how signals travel and ...

The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in order to explore possible future scenarios. Instead of relying on a single ...

A new AI-powered tool delivers injection molding simulation results up to 1000 times faster than traditional methods, enabling engineers to explore vastly more design options during early development.

Concr CEO Irina Babina and CTO Matthew Griffiths unpack how Bayesian foundation models can excel at uncertainty management to ...