Engineering simulation is entering a new era where AI slashes design cycles from weeks to minutes. From AI-augmented solvers to physics-trained neural networks, tools like Ansys 2026 R1 are blending ...

AI-powered physics simulations are speeding up design cycles, cutting costs, and enabling more creative engineering solutions. By combining traditional multiphysics modeling with machine learning, ...

Engineers, simulation experts and industry leaders gather at the COMSOL Conference to explore cutting-edge research, learn ...

AI-powered digital, analog and verification flows and broad IP solutions deliver exceptional quality of results for TSMC ...

Additionally, Synopsys strengthened its automotive leadership with the launch of a complete UCIe IP ASILB solution on N5A, complementing its high reliability Interface and Foundation IP offerings on ...

Abstract: In traditional electromagnetic-thermal-mechanical multiphysics numerical simulation methods, the densest mesh among all physical fields is usually adopted to guarantee simulation accuracy, ...

The expanded collaboration combines agentic AI, physics-based simulation and digital twins to accelerate engineering and ...

The two companies announced an expanded partnership at a Cadence conference in Santa Clara on Wednesday. The goal: make robot training data more accurate so physical AI systems reach real-world ...

A year ago, Quanscient performed the first multi-time-step CFD simulation on a quantum computer at Finland’s VTT Technical Research Center. Credit: Quanscient Can quantum computing solve one of the ...

In this Special Issue, Digital Engineering presents its second annual guide to design and simulation software vendors. Special Focus Issue: Artificial Intelligence in Simulation In this Special Focus ...

In the age of Industry 4.0, manufacturers are expected to develop increasingly sophisticated, digitally integrated products while controlling development costs and accelerating time to market.