It is now practical to write software for real-time systems long before the actual computer hardware is sitting in a physical prototype. In today’s world it is rare to find electromechanical devices ...

As 6G envisions the convergence of ultra-fast communications, integrated sensing, and native AI capabilities across diverse environments — including terrestrial, aerial, and satellite domains — ...

How model-based systems engineering (MBSE) has improved system design. Thermal design and MBE come together. When considering systems-level design, it’s important to understand the criticality of the ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

How in-house-developed and third-party general-purpose simulation tools are limited to a few expert users and aren’t easily shareable. How multiphysics simulation of subsystems can result in an ...

Complexity in hardware design is spilling over to other disciplines, including software, manufacturing, and new materials, creating issues for how to model more data at multiple abstraction levels.

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...

As AI's integration in the process of designing and improving industrial infrastructure progresses, governance needs to ...

The integration of generative AI (GenAI) into tools such as cloud-based SaaS (software-as-a-service) products are driving dynamic transformation in the industrial automation space. The emergence of ...

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...