Robots are trained for specific tasks, such as cutting, using simulation. However, collecting real-world data is expensive, ...

Who will win the 2026 NBA Draft Lottery? 100 simulations were run to determine who has the best chance at earning the No. 1 ...

US drug pricing policy and Congressional Budget Office (CBO) model of the Build Back Better Act examining pharmaceutical R&D ...

KUKA Group uses simulation to cut risks, speed production, and boost efficiency in automation systems worldwide ...

Engineering teams using AI create significantly more design variants, accelerating innovation and competitive advantage.

At IFAT 2026, Siemens will showcase how digital solutions help manage water quality, wastewater treatment and material flows ...

AI-driven operator learning models like Fourier Neural Operator and DeepONet are redefining simulation speed, producing results in seconds instead of hours. Coupled with automation tools such as ...

Semiconductor engineering teams have long relied on an iterative simulation workflow: define the scenario, prepare the model, ...

Design Smarter. Reduce Risk. Deliver Faster. In today’s competitive engineering landscape, accurate process insight is essential. Whether you’re evaluating a new concept, optimizing an existing plant, ...

For years, CSL Behring has consistently relied on dynamic process simulation linked to live production data. The result: more robust operations, faster ramp-ups, rolling maintenance instead of major ...

Abstract: This paper proposes a data-driven self-triggered model predictive control (MPC) scheme for constrained linear time-invariant (LTI) systems that are unknown and affected by bounded process ...