As we are in the process of hyperscaling the large volumes of data that our devices and sensors create, processing this data along the way at far and near edges, and transmitting the hard-to-imagine ...

A system-engineering approach is essential for an efficient design in a complex system. Comprehension of conflicting requirements of participating subsystems and integrated designs are key elements ...

Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

The benefits of using simulation early and often in the product development process are clear. You can verify requirements and begin studying and exploring design alternatives before prototyping and ...

AI agents help engineering teams move faster with adaptive automation that supports broader design exploration and maintains ...

Developing human-centered, physics-based, and AI-enabled design methods for creating engineering products and systems that address societal challenges Design combines engineering, business, the arts, ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Automation is abundant. We sit at the point of an extended ...

As a data engineering leader with over 15 years of experience designing and deploying large-scale data architectures across industries, I’ve seen countless AI projects stumble, not because of flawed ...

It is not often that government leadership discusses the importance of system engineering or complex system management, but major setbacks for the U.S. Coast Guard’s $24 billion Deepwater program are ...

Several major aerospace and defense manufacturing leaders are using digital engineering to advance the development and production of avionics systems. During two panels at the Air Force Association’s ...